KR102224690B1 - Solar radiation quantity prediction system for electric vehicle and Method of predicting solar radiation quantity for electric vehicle - Google Patents

Abstract

The present invention is a sky image photographing unit, a navigation unit, a communication unit, a cloud server, a microcomputer, and a control unit. After receiving the sky image, processing the photographed sky image and the sky image photographed in another vehicle in three dimensions, the cloud characteristics are determined with the three-dimensionally processed image, and the weather information of the corresponding location and the vehicle The driving direction and average speed are collected, the microcomputer predicts the cloud motion based on the determined cloud characteristics, calculates and predicts the amount of insolation of the electric vehicle based on the predicted cloud motion, and the control unit determines the amount of insolation based on the predicted amount of insolation. The present invention provides an electric vehicle solar radiation estimation system and a solar radiation estimation method for efficient optimization of electric energy of an electric vehicle by controlling the angle of incidence of a solar panel, controlling battery charging and discharging, and controlling the rotational force of an electric motor.

Description

Solar radiation quantity prediction system for electric vehicle and method of predicting solar radiation quantity for electric vehicle

The present invention relates to a system for predicting the amount of insolation of an electric vehicle, and more particularly, a sky image of a corresponding location based on a corresponding electric vehicle, and based on the photographed sky image and weather information, and a sky image photographed from another vehicle. , Predict the amount of insolation of an electric vehicle, and based on the predicted amount of insolation, the angle of incidence of the solar panel of the electric vehicle, battery charging and discharging and rotational power of the electric motor, control of the air conditioning system, and the electric energy of the electric vehicle according to the predicted amount of insolation. The present invention relates to a system for predicting solar radiation of an electric vehicle that can be managed through optimization and a method for predicting solar radiation of the electric vehicle.

In general, if 100% electric vehicles that can use clean energy such as solar power immediately are commercialized among the means to replace petroleum, they are economical and environmentally friendly due to their own low maintenance costs, and there will be no need to worry about the depletion of fossil fuels.

In response to the demands of such times, the development of solar technology and electric vehicle technology is spurring, and in recent years, electric vehicles equipped with solar power generators on the vehicle roof are emerging.

Solar electric vehicles are equipped with batteries that convert solar energy into electric energy and then store it or store commercial power.This battery technology is very important, and there is a problem that the life of the battery is shortened when frequent charging and discharging are performed. .

And as the full charge mileage is limited to around 200km in the state where the battery of the electric vehicle is fully charged, the remaining mileage due to battery discharge (DTE (Distance to empty)) is very important driving information, and the driver through the cluster. It must be provided to people.

In addition to the power consumed by the motor, which is the driving power of the electric vehicle, the power consumption of the air conditioner is greatly influenced by the operation of the air conditioner, so the power consumption of the air conditioner is used as essential information for predicting the remaining distance of the electric vehicle.

For reference, the remaining mileage of an electric vehicle is the air-conditioning non-reflected fuel ratio (km/kWh), which refers to the mileage compared to the power consumption of the battery when the air conditioner is not in operation, and the air-conditioning-reflected fuel ratio, which refers to the mileage compared to the power consumption of the battery when the air conditioner is operating It can be calculated through (km/kWh), and in order to predict the power consumption of air conditioning, the power consumption of air conditioning, that is, the air conditioning load, must be predicted.

Conventionally, an average air conditioning load value is used to predict the air conditioning power consumption, or an air conditioning load prediction value based on an air conditioning load prediction model is used.

Since the average air conditioning load value uses the actual air conditioning load when the air conditioning system is operated, it is possible to accurately predict the residual travel distance, but the estimated residual travel distance does not converge to the actual residual travel distance level according to the delay phenomenon of real-time air conditioning load reflection. In addition, there is a problem in that the remaining driving distance decreases sharply than in reality due to excessive estimation of the air conditioning power at the beginning of the driving.

The present invention photographs a sky image of a corresponding location based on the electric vehicle, and based on the photographed sky image and weather information, and a sky image photographed by another vehicle at the next location among the navigation driving routes of the electric vehicle at the same time. , The current position of the electric vehicle and the amount of insolation at the next location of the navigation route are predicted, and based on the predicted amount of insolation, the incident angle of the solar panel of the electric vehicle, battery charging and rotational force of the electric motor, as well as the air conditioning system An object of the present invention is to provide a system for predicting an amount of insolation of an electric vehicle capable of efficiently optimizing and controlling the electric energy of an electric vehicle according to the amount of insolation by driving control, and a method for predicting the amount of insolation of the electric vehicle.

The solar radiation prediction system according to the present invention is provided on the upper surface of an electric vehicle running with the rotational force of an electric motor that drives electricity generated by a solar panel, and selectively photographs the sky above the electric vehicle. A sky image capturing unit for collecting images, provided in the electric vehicle, a map of a corresponding location, driving information and driving route of the vehicle, and electrically connected to the sky image capturing unit, and interlocked with the sky image capturing unit Navigation providing orientation and GPS location information to be reflected in the captured sky image, the position of the sun at a corresponding position provided on one side of the electric vehicle, and the humidity and wind speed of the corresponding position, A communication unit for receiving weather information including wind direction and transmitting and receiving an image of the sky photographed with other automobiles, and the electric vehicle by communicating with the communication unit, and photographing from other automobiles driving the next position among the navigation driving paths of the electric vehicle A cloud server that stores the sky image for each region by time zone and selectively transmits the saved sky image, and is electrically connected to the sky image photographing unit, the navigation and communication unit, and the sky image of the location and the weather information of the location, This is the sky image taken by other vehicles driving the next position among the navigation driving paths of the electric vehicle.After three-dimensionally processing the sky image on the corresponding position and the next position, the shape of the cloud, the distribution area of the cloud, and the cloud amount are included. A microcomputer that determines and predicts a cloud characteristic, predicts the movement of the cloud using the determined cloud characteristic, calculates and predicts the amount of insolation at the current location and the amount of insolation at the next position among the navigation driving paths of the electric vehicle, and Any one of the incidence angle of the solar panel, the battery charging/discharging and the rotational force of the electric motor, and the air conditioning system, based on the solar radiation of the corresponding location and the solar radiation of the next location among the navigation driving paths provided inside the micom. , Or by controlling the plurality of electric vehicles It includes a control unit to control.

delete

delete

delete

delete

delete

The method for predicting solar radiation of an electric vehicle according to the present invention comprises the steps of: a) continuously photographing an image of the sky above the electric vehicle for each corresponding time, and b) an image of the sky photographed by another vehicle at a next location among the navigation driving paths of the electric vehicle. , After merging the sky image taken by the electric vehicle to three-dimensionally process the sky image on the corresponding location, based on the processed image, the shape of the cloud and the distribution of the cloud at the current location of the driving route and the next location of the navigation driving route Determining cloud characteristics including area and cloudiness; c) calculating and measuring the amount of insolation of the electric vehicle based on the determined cloud characteristics of the current location; and d) analyzing the atmospheric flow field at the next location in the driving route. Step e) The sky image on the next location by processing the sky image captured by the electric vehicle on the continuous photographed driving path and the sky image photographed by another vehicle at the next location among the received navigation driving paths of the electric vehicle. After processing the three-dimensionally, predicting the cloud characteristics of the next position among the navigation paths of the electric vehicle with the processed image, f) predicting the cloud motion in the analyzed atmospheric flow field, and g) the electricity. Predicting the amount of insolation at the next position among the navigation driving paths of the electric vehicle based on the cloud characteristics of the next position among the navigation driving paths of the vehicle and the predicted cloud motion, and h) the predicted current position and the navigation of the electric vehicle And controlling one or more of the incident angle of the solar panel, the battery charging/discharging and the rotational force of the electric motor, and the air conditioning system based on the amount of insolation at the next position in the driving route, and controlling the electric consumption of the electric vehicle. .

The effects exhibited by the solar radiation predicting system for an electric vehicle and the solar radiation predicting method for the electric vehicle according to the present invention are as follows.

First, an image of the sky above the electric vehicle is taken, and the cloud characteristic is determined based on the photographed sky image and the sky image photographed from another vehicle at the next location among the navigation driving paths of the electric vehicle, and the determined cloud characteristic By calculating the amount of insolation at the next location among the current location of the electric vehicle and the navigation driving route, it is possible to measure the amount of insolation that is more realistic, and the amount of power generated from the solar panel installed in the electric vehicle can be predicted, and the battery charging and driving method It is possible to efficiently manage the electric energy of electric vehicles, such as (rotational force control of electric motors).

Second, by controlling the driving of the cooling/heating means and the blower according to the measured current position of the electric vehicle and the amount of insolation at the next position among the navigation driving paths, more comfortable air conditioning is achieved in the interior of the electric vehicle by controlling the air conditioning system reflecting the amount of insolation. I can.

1 is an exemplary diagram illustrating a configuration of a system for predicting solar radiation of an electric vehicle according to an embodiment of the present invention.
2 is a block diagram showing a step-by-step method for predicting solar radiation of an electric vehicle according to an embodiment of the present invention.
3 is a block diagram showing a step-by-step method for predicting solar radiation of an electric vehicle according to another embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Prior to this, terms or words used in the specification and claims should not be construed as being limited to their usual or dictionary meanings, and the inventors appropriately explain the concept of terms in order to explain their own invention in the best way. Based on the principle that it can be defined, it should be interpreted as a meaning and concept consistent with the technical idea of the present invention.

Therefore, the embodiments described in the present specification and the configurations shown in the drawings are only the most preferred embodiments of the present invention, and do not represent all the technical spirit of the present invention. It should be understood that there may be variations.

The present invention photographs a sky image of a corresponding location based on a corresponding electric vehicle, predicts the amount of insolation of an electric vehicle, based on the photographed sky image and weather information, and the sky image photographed from another vehicle, and is based on the predicted amount of insolation. In addition to controlling the angle of incidence of the solar panel of the electric vehicle, battery charging and discharging control, and the rotational force of the electric motor, as well as controlling the air conditioning system, the amount of insolation of the electric vehicle to operate the electric energy in the optimized mode according to the predicted insolation. It relates to a prediction system and a method of predicting the amount of insolation of the electric vehicle, and will be described with reference to the drawings.

First, with reference to FIG. 1 ?編? The solar radiation prediction system for an electric vehicle according to an embodiment of the present invention includes a sky image capture unit 100, a navigation unit 200, a communication unit 300, a cloud server 400, a microcomputer 500, and a control unit 600. , The sky image photographing unit 100 is provided on the upper surface of the electric vehicle running with the rotational force of the electric motor 630 that drives electricity produced by the solar panel 610 with power, and optionally, the sky above the electric vehicle. By shooting, collect the sky image.

At this time, the sky image photographing unit 100 includes a camera, which is a photographing means, and a fisheye lens is provided in the camera for photographing the sky, so that a sky image with a field of view of 120° or more is photographed and provided, or the camera is provided with a constant It is preferably provided so as to be rotated continuously at an angle, and to provide a panoramic image of the sky.

In addition, the navigation 200 generally includes an orientation sensor and a GPS location sensor, like a navigation system provided in a vehicle, and provides a map of a corresponding location and driving information and a driving route of the vehicle. While being provided, the sky image photographing unit 100 is electrically connected to the sky image photographing unit 100 to reflect the bearing and GPS location information on the sky image photographed in connection with the sky image photographing unit 100, and the sky image photographing unit 100 Provides bearing and GPS location information.

In addition, the communication unit 300 is capable of wireless communication (5G communication, WiFi, etc.) with a base station in a short distance, such as a mobile phone, is provided on one side of the electric vehicle, and weather information of a corresponding location where the electric vehicle is driving. Receiving and sending and receiving sky images taken with other cars.

At this time, the communication unit 300 communicates with the meteorological information server of the Meteorological Administration to receive meteorological information of a corresponding location, and receives the location of the sun at the corresponding location, humidity, wind speed, wind direction, etc., and the cloud server 400 ) To receive an image of the sky photographed with other vehicles traveling to the next position among the navigation driving paths of the electric vehicle.

Here, the other vehicle is a vehicle on the current road where the electric vehicle is located, or a vehicle located within a corresponding radius based on the electric vehicle, or a path to be driven in the next time slot among the navigation driving routes based on the location of the electric vehicle (road ) It is any one of the cars (cars running ahead) located on the top.

In addition, the cloud server 400 shares information collected by vehicles to which the corresponding system is applied, and stores the sky image by region by time by communicating with the communication unit 300, and selectively transmits the stored sky image.

In addition, the micom 500 is electrically connected to the sky image capturing unit 100, the navigation 200, and the communication unit 300, and the sky image of the corresponding location photographed by the sky image capturing unit 100 , A sky image photographed by other vehicles driving the next position among the navigation driving paths of the electric vehicle, and after three-dimensionally processing the sky image on the corresponding position, the cloud characteristics are determined, and the corresponding position received by the communication unit With meteorological information, the cloud motion is predicted based on the determined cloud characteristics, and the insolation of the electric vehicle is calculated using the predicted cloud motion and the angle of incidence of the sun calculated from the electric vehicle's orientation and GPS location information reflected in the photographed sky image. Predict.

The three-dimensional cloud characteristics calculated at this time include the cloud type, shape, cloud distribution area, and cloud amount, and the insolation amount of the electric vehicle can be obtained from the sky clarity, the amount of insolation outside the atmosphere, and the angle of incidence of sunlight. If it is obscured, it is predicted by calculating the amount of insolation using the solar radiation transmission equation.

In addition, the controller 600 is electrically connected to the micom 500 and controls the amount of electricity used based on the amount of insolation predicted by the micom 500, and the solar panel 610 ), control the charging/discharging of the battery 620 and the rotational force of the electric motor 630, and controlling the air conditioner ON/OFF of the air conditioning system 640 and the rotational speed of the blower in the optimization mode, The electric energy of the electric vehicle can be optimized according to the predicted insolation.

A method of predicting solar radiation of an electric vehicle according to an embodiment of the present invention with reference to FIG. 2 will be described as follows.

First, a system for predicting solar radiation of an electric vehicle is provided. The system for predicting solar radiation of an electric vehicle includes a sky image capture unit 100, a navigation unit 200, a communication unit 300, a cloud server 400, a microcomputer 500, and a control unit ( 600), and the insolation prediction system is provided in an electric vehicle running with the rotational force of an electric motor that drives electricity as a power source, and the detailed description is described above, and in the previous paragraph, a detailed description of the insolation amount prediction system Will be omitted.

The method for predicting the amount of insolation of an electric vehicle equipped with the above system,

First, in step a), an image of the sky above the electric vehicle is photographed (S110).

At this time, the sky image photographing unit 100 photographs an image of the sky upward from the electric vehicle, and the sky image photographing unit 100 is provided on the upper surface of the electric vehicle, and selectively photographs the sky above the electric vehicle. The image is collected, and the sky image captured by the sky image photographing unit 100 reflects the direction and GPS location information of the corresponding location (photographed) provided by the navigation 200.

Next is step b), by merging the sky image captured by another vehicle and the sky image captured by the electric vehicle to process the sky image on the corresponding location in three dimensions, and then, based on the processed image, the current location of the driving route. The cloud characteristics of are determined (S120)

At this time, the communication unit 300 receives the sky image captured by another vehicle stored in the cloud server 400, processes the captured sky image and the sky image captured by another vehicle, and then processes the cloud characteristics as the processed image. The sky image photographed by the other vehicle and the sky image photographed by the electric vehicle are merged to perform three-dimensional processing of the sky image on the corresponding location, and then the three-dimensionally processed sky image is one of the image processing methods. Check the sky clarity and the presence or absence of clouds through the analysis of the chromaticity and RGB values, and if there are clouds, calculate and determine the shape of the clouds, the distribution area of the clouds, and the amount of clouds, and the orientation and GPS reflected in the sky image The bearing and GPS coordinates of the cloud are set based on the location information.

Next, in step c), the weather information of the location and the driving direction of the vehicle are collected (S130).

At this time, the communication unit 300 collects the weather information of the location and the driving direction of the vehicle, and the meteorological information of the location is based on the location of the sun at the location, humidity, wind speed, and wind direction of the location, and Short-wave satellite images, visible ray satellite images, infrared satellite images, water vapor satellite images, cloud images, aerosol optical thickness, etc. collected from meteorological satellites can be collected, and the driving direction and average speed of the vehicle are provided by the navigation 200. .

Next, in step d), the amount of insolation of the electric vehicle is calculated and measured using the determined cloud characteristics of the corresponding location (S140).

At this time, the micom 500 calculates and measures the amount of insolation of the electric vehicle based on the determined cloud characteristics. After determining whether to match the GPS coordinates of the cloud with the GPS coordinates of the electric vehicle, the sky reflects the cloud characteristics. The amount of insolation is calculated from the degree of clarity, the amount of insolation outside the atmosphere, and the angle of incidence of sunlight.

Here, when calculating the solar radiation, if the sun is covered by a cloud, the solar radiation is calculated and measured using the solar radiation transmission equation.

Next, in step e), the electricity consumption is controlled based on the measured insolation of the electric vehicle (S150).

At this time, the control unit 600 uses the solar panel 610 incident angle of the electric vehicle, the driving of the air conditioning system 640, the battery 620 charging, and the electric motor ( 630) to control the power consumption, control the air conditioner ON/OFF of the air conditioning system of the electric vehicle and the rotational speed of the blower with the measured amount of insolation, and control the battery charging by the degree of electricity consumption and the charging rate of the battery. In addition, by controlling the rotational force of the electric motor in the optimization mode, the electric energy of the electric vehicle can be optimized according to the measured amount of insolation.

In addition to referring to FIG. 3, in the method for predicting solar radiation of an electric vehicle according to an embodiment of the present invention, it is possible to predict the solar radiation for the next position among the navigation driving paths of the electric vehicle.

First, the solar radiation predicting system of an electric vehicle includes a sky image capture unit 100, a navigation 200, a communication unit 300, a cloud server 400, a microcomputer 500, and a control unit 600, and the solar radiation predicting system Is provided in an electric vehicle that runs with the rotational force of an electric motor that drives electricity, and a detailed description of the above-described bar is described above, and detailed description of the insolation amount prediction system will be omitted in the preceding paragraph.

The method for predicting the amount of insolation of an electric vehicle equipped with the above system,

First, in step a), an image of the sky above the electric vehicle is continuously photographed for each corresponding time (S210).

At this time, the sky image photographing unit 100 continuously photographs an image of the sky above the electric vehicle for each corresponding time, and the sky image photographing unit 100 is provided on the upper surface of the electric vehicle, and The sky image is continuously photographed and collected for each corresponding time, and the direction and GPS position information of the corresponding position (photographed) obtained by the navigation 200 are reflected in each sky image captured by the sky image photographing unit 100.

Next, in step b), the sky image on the corresponding location is three-dimensionally processed by merging the sky image photographed by another vehicle at the next location among the navigation driving paths of the electric vehicle and the sky image photographed by the electric vehicle, Based on the processed image, the cloud characteristics of the current location of the driving route are determined (S220).

At this time, the communication unit 300 continuously receives the sky image photographed by another vehicle at the next location among the navigation driving paths of the electric vehicle stored in the cloud server 400 by time, and the sky image photographed by the electric vehicle, It determines the cloud characteristics of the current location of the driving route based on the received sky image taken from another vehicle.

The sky image captured by the other vehicle and the sky image captured by the electric vehicle are merged to perform three-dimensional processing of the sky image on the corresponding location, and then the three-dimensionally processed sky image is one of image processing methods, such as chromaticity and RGB. Through value analysis, it checks the sky's clarity and the presence or absence of clouds, and if there are clouds, calculates and determines the shape of the clouds, the distribution area of the clouds, and the amount of clouds, and based on the bearing and GPS location information reflected in the sky image. The direction of the cloud and the GPS coordinates are set.

Next, in step c), the amount of insolation of the electric vehicle is calculated and measured based on the determined cloud characteristics of the current location (S230).

At this time, the micom 500 calculates and measures the amount of insolation of the electric vehicle based on the determined cloud characteristics. After determining whether to match the GPS coordinates of the cloud with the GPS coordinates of the electric vehicle, the sky reflects the cloud characteristics. The amount of insolation is calculated from the degree of clarity, the amount of insolation outside the atmosphere, and the angle of incidence of sunlight.

Here, when calculating the amount of solar radiation, if the sun is covered by a cloud, the amount of solar radiation is calculated and predicted using the solar radiation transmission equation.

Next, in step d), the atmospheric flow field at the next position in the travel path is analyzed (S240).

At this time, the microcomputer 500 analyzes the atmospheric flow field on the travel path, and the analysis of the atmospheric flow field is interpreted by the atmospheric flow vector, and the atmospheric flow vector is successively photographed for each time period in an electric vehicle traveling along the travel path. The sky image, weather information by time zone of the location (the location of the sun at the location, humidity, wind speed, wind direction), and additionally collected meteorological satellites (short wave satellite images, visible ray satellite images, infrared satellites) Image, water vapor satellite image, cloud image, aerosol optical thickness, etc.), sky image collected by time from other cars, surrounding features on the driving route (tunnels, mountains, buildings, etc. that can block sunlight from the location of the electric vehicle) Based on, the atmospheric flow vector is calculated, and the atmospheric flow field is analyzed with the calculated atmospheric flow vector.

Next is step e), by processing the sky image captured by the electric vehicle on the continuous photographed driving path and the sky image photographed by another vehicle at the next position among the received navigation driving paths of the electric vehicle. After processing the image three-dimensionally, the processed image is used to predict the cloud characteristics of the next position in the navigation route of the electric vehicle (S250).

At this time, the micom 500 predicts the cloud characteristics of the next position among the navigation driving paths of the electric vehicle, and the sky image photographed by another vehicle at the next position among the consecutively photographed navigation driving paths of the electric vehicle, and the corresponding electricity. After merging the sky image captured by the car for each time zone and processing the sky image at the corresponding location in three dimensions, the three-dimensionally processed sky images are checked for the presence of clouds through one of the image processing methods, which is chromaticity and RGB value analysis. And, if there is a cloud, the shape of the cloud, the distribution area of the cloud, and the cloud amount are calculated and determined, and the GPS coordinates of the cloud are reflected based on the bearing and GPS location information reflected in the sky image.

Next, in step f), the cloud motion in the analyzed atmospheric flow field is predicted (S260).

At this time, the micom 500 predicts the cloud motion and cloud characteristics in the analyzed atmospheric flow field, and the cloud characteristics determined in step e) (S260) are introduced in the atmospheric flow field analyzed in step d) (S250). Thus, the cloud motion on the driving path of the next position is predicted, and the cloud characteristics of the next position are predicted.

Next, in step g), based on the cloud characteristics of the next position among the navigation driving paths of the electric vehicle and the predicted cloud movement, the amount of insolation at the next position among the driving paths is predicted (S270).

At this time, the micom 500 predicts the solar radiation of the next location among the navigation driving routes of the electric vehicle. Compared with the GPS coordinate of the cloud and the GPS coordinate of the next location, the solar radiation of the next location is the sky clarity, the amount of insolation outside the atmosphere, It can be obtained from the angle of incidence of sunlight. If the sun is covered by a cloud, it is predicted by calculating the amount of insolation using the solar radiation transmission equation.

Next, in step h), the electricity consumption is controlled based on the predicted current location and the amount of insolation at the next location among the navigation travel paths of the electric vehicle (S280).

At this time, the solar panel 610 incident angle of the electric vehicle, and the air conditioning system 640 as the solar radiation amount of the next location among the navigation driving paths of the electric vehicle, measured by the controller 600 at the corresponding position measured by the micom 500 Power consumption is controlled by controlling the driving of the battery, charging the battery 620, and the rotational force of the electric motor 630. The measured amount of insolation controls ON/OFF of the air conditioner of the air conditioning system of the electric vehicle and the rotation speed of the blower. Battery charging is controlled by the degree of consumption and the charging rate of the battery, and the rotational force of the electric motor is controlled in the optimization mode, so that the electric energy of the electric vehicle can be optimized according to the measured amount of insolation.

Therefore, when a solar electric vehicle is commercialized in the future, it is possible to predict the amount of electricity produced by a solar panel installed in a solar electric vehicle and utilize it for energy management such as battery storage and charging, and driving methods.

In addition, it is also possible to utilize the solar radiation predicting system of the electric vehicle and the solar radiation predicting method of the solar radiation predicting system for an airplane or ship driven by electricity produced by solar power generation.

The present invention has been described with reference to the embodiments shown in the drawings, but these are merely exemplary, and those of ordinary skill in the art will appreciate that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

100: sky image photographing unit
200: navigation
300: communication department
400: cloud server
500: microcomputer
600: control unit

Claims (7)

A sky image photographing unit provided on an upper surface of an electric vehicle running with the rotational force of an electric motor that drives electricity produced by a solar panel and selectively photographing the sky above the electric vehicle to collect a sky image;
It is provided in the electric vehicle, the map of the location, driving information and driving route of the vehicle, and electrically connected to the sky image photographing unit, and the orientation and GPS to be reflected in the sky image captured in connection with the sky image photographing unit Navigation providing location information;
It is provided on one side of the electric vehicle and receives weather information including the position of the sun at a corresponding position where the electric vehicle is running, humidity, wind speed, and wind direction of the corresponding position, and transmits and receives sky images taken with other vehicles A communication unit;
A cloud server that communicates with the communication unit to store sky images taken by the electric vehicle and other vehicles traveling to the next position among the navigation driving paths of the electric vehicle for each region, and selectively transmits the stored sky image;
It is electrically connected to the sky image photographing unit, the navigation and communication unit, the sky image of the corresponding location, the weather information of the corresponding location, and the sky image taken by other vehicles driving the next location among the navigation driving paths of the electric vehicle. , After three-dimensionally processing the image of the sky at the corresponding location and the next location, the cloud characteristics including the shape of the cloud, the distribution area of the cloud, and the cloud volume are determined, the motion of the cloud is predicted with the determined cloud characteristics, and the predicted cloud A micom that calculates and predicts the amount of insolation at the current position and the amount of insolation at the next position among the navigation driving paths of the electric vehicle; And
Any one of the incidence angle of the solar panel, the battery charging/discharging and the rotational force of the electric motor, and the air conditioning system, based on the solar radiation of the corresponding location and the solar radiation of the next location among the navigation driving paths provided inside the micom. , Or a control unit for controlling the amount of electricity of the electric vehicle by controlling a plurality of; Insolation prediction system for an electric vehicle comprising a.
delete delete delete delete delete a) continuously photographing an image of the sky above the electric vehicle for each corresponding time period;
b) Among the navigation driving paths of the electric vehicle, the sky image photographed by another vehicle at the next location and the sky image photographed by the electric vehicle are merged to process the sky image on the corresponding location in three dimensions, and then based on the processed image. Determining a cloud characteristic including a shape of a cloud, a distribution area of the cloud, and a cloud amount at a current position in the driving route and a next position in the navigation driving route;
c) calculating and measuring the amount of insolation of the electric vehicle based on the determined cloud characteristics of the current location;
d) analyzing the atmospheric flow field on the next position in the travel path;
e) The sky image on the next location is three-dimensionally processed by processing the sky image captured by the electric vehicle on the continuous driving path and the sky image captured by another vehicle at the next location among the received navigation driving paths of the electric vehicle. After processing, predicting a cloud characteristic of a next position among the navigation paths of the electric vehicle using the processed image;
f) predicting cloud motion within the analyzed atmospheric flow field;
g) predicting an amount of insolation at a next location in the navigation route of the electric vehicle based on a cloud characteristic of a next location in the navigation route of the electric vehicle and a predicted cloud motion; And
h) Based on the predicted current position and the amount of insolation at the next position among the navigation driving paths of the electric vehicle, the incident angle of the solar panel, the battery charging and discharging and the rotational force of the electric motor, and one or more of the air conditioning system are controlled. Controlling the electricity consumption of the electric vehicle; Insolation prediction method of an electric vehicle comprising a.

Images