KR20150116009A - Apparatus for electric vehicle specific navigation adopting battery consumption weight algorithm according to the slope change of road and the method thereof - Google Patents

Abstract

The present invention relates to a navigation device specialized in an electric vehicle using a battery consumption weight algorithm according to a slope change of a road and a method thereof, and more specifically, to a navigation device specialized in an electric vehicle is applied with a weight algorithm for predicting a battery consumption amount according to a slope change of a road by collecting and analyzing data about battery consumption and regenerative brake of an electric vehicle changed according to the slope of the road, and to the method thereof.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to an electric vehicle-specific navigation device and a method thereof,

More particularly, battery consumption and regenerative braking of an electric vehicle vary depending on a slope of a road, and therefore, data on the battery consumption and the regenerative braking of the electric vehicle vary depending on the slope of the road. The present invention relates to an electric car specialized navigation apparatus and a method of applying the weighting algorithm for estimating a battery consumption amount according to a change in road inclination.

In recent years, as the energy depletion and environmental concerns have increased, the automobile industry is concentrating on the development of environmentally friendly electric vehicles with low energy consumption.

However, since the electric vehicle uses electric power as a power source, there is an advantage that pollution can be significantly reduced. However, even if the same distance is used, the operation environment (uphill, downhill, The running efficiency can not be accurately calculated because the amount of battery consumption is rapidly varied depending on the weight of the vehicle. Here, the running efficiency refers to the running ratio of the electric vehicle, which means the distance that the electric vehicle can travel due to the running distance (Km) to the battery consumption (W), that is, the remaining amount of the battery.

In other words, although the electric vehicle displays the remaining battery capacity in the past, it is not possible to predict the precise travelable time or the travelable distance by simply displaying the battery remaining amount without consideration of the battery consumption according to the travel environment. That is, if the operating environment of the electric vehicle (or the battery consumption rate depending on the operating environment) changes and the battery consumption increases, the remaining battery power is consumed more rapidly. However, conventionally, the battery power consumption or the average consumption It is impossible to predict the precise travel time, travelable distance, or the remaining time of the remaining battery charge according to the remaining battery charge. Therefore, the user has to carry out pre-charging in a state in which the user does not need to charge in an unstable state.

Also, since the charging of the battery of the electric vehicle takes at least 30 minutes at the time of quick charging and at least 6 hours at the time of the fast charging, when the charging is performed in a state in which charging is not necessary, the user wastes time and money . Moreover, the above problem may be more serious in a situation where the infrastructure of the charging station for charging the electric vehicle is not sufficiently equipped.

In addition, navigation of the conventional route search method is guided by route priority and route priority.

As a prior art document for solving such a problem, Korean Patent Laid-Open Publication No. 2012-0126143 (Nov. 21, 2012) proposes an auto cruise control system and method for a hybrid vehicle. When the cruise control function is selected from the driver, the hybrid cruise control system of the hybrid vehicle of the prior art document provides guidance, altitude and position information of the road currently being received via the GPS, and measures inclination information of the road during driving And a cruise control unit for determining the inclination type (uphill, downhill, and flat) of the road based on the provided navigation and the information provided by the navigation and controlling the engine mode or the motor mode to be switched, (RPM) or a motor speed corresponding to the predetermined slope information when switching to the mode or the motor mode.

As another prior art document, Korean Patent Laid-Open Publication No. 2013-0065432 (2013.06.19) proposes an eco-driving driver support system and support method for electric vehicles. The support system of the prior art document includes an information collecting unit for acquiring the outside information or the vehicle itself information of the electric vehicle, a control logic for setting the route to the destination based on the collected information, And a route setting unit for setting a plurality of traveling routes for the destination based on the control logic and the setting model for the route setting and setting a recommended traveling route having a high energy efficiency among the plurality of traveling routes, And a vehicle drive control unit for controlling the vehicle drive by monitoring the vehicle state in the electric vehicle according to the recommended travel route set by the route setting unit based on the vehicle drive control logic and the setting model .

However, the above prior art documents are based on the fact that the time required for charging is determined only by the remaining battery level without considering the consumption speed of the battery according to the driving environment, Or the distance that can be traveled can not be accurately predicted. As a result, the accuracy with respect to the point of time when the battery is required to be charged is lowered, and accordingly, charging is performed at an unnecessary point of time to waste time and money. It is possible.

Therefore, route search and route guidance using the battery consumption weight algorithm according to the road gradient change as well as the road priority and priority distance are needed.

The present invention has been made to solve the above-mentioned problems, and it is an object of the present invention to provide a vehicle control system and a vehicle control method, It is an object of the present invention to provide path search and route guidance by estimating and estimating battery consumption per link according to the slope of a road by acquiring and analyzing the regeneration information and constructing a weight algorithm applying the same.

It is still another object of the present invention to provide an electric vehicle specialized navigation apparatus and method thereof through filtering for applying raw data of a driving condition collector (DCC) to a network road do.

It is another object of the present invention to provide an electric vehicle specialized navigation apparatus and a method thereof, by mapping a battery consumption amount for each link linked to a network road map for navigation.

The electric vehicle specialized navigation apparatus according to an embodiment of the present invention is a navigation device that receives raw data collected by a driving situation collector (DCC), performs filtering for extracting reliable data through correction for coordinate values, part; A battery consumption mapping unit for receiving data extracted by the filtering unit and mapping a battery consumption amount for each link linked to a navigation network road map; A battery management unit for receiving data extracted by the battery consumption mapping unit and controlling the amount of battery consumption according to a driving situation; And a storage unit for storing the data extracted by the filtering unit and the network road map data for navigation, and the battery consumption weight according to the change amount of the road tilt of each link is applied.

Further, in the electric vehicle specialized navigation device according to an embodiment of the present invention, the filtering unit collects the raw data through a DCC sensor in one file, or collects points (or coordinates) or an error At least one of data out of the range is filtered to be processed as reliable data, and irregular incoming data is filtered to convert the latitude and longitude values of data obtained by linkage measurement of DCC into network road data for navigation Car normalization process; And a second normalization process of merging the data obtained through the DCC on the regular coordinates extracted in the first normalization.

Further, in the electric vehicle specialized navigation apparatus according to an embodiment of the present invention, the filtering unit receives the navigation network road map data stored in the storage unit and the initial raw data collected in the DCC, It is possible to enhance the primitive data map matching and to analyze the compatibility between the road network data for navigation and the driving situation raw data of the electric vehicles collected by the DCC and to enhance the merging of the network road data for navigation by utilizing the data collected by the DCC .

Further, in the electric vehicle specialized navigation device according to an embodiment of the present invention, the battery consumption mapper may configure a network road map for navigation as a point-in-node and a line in link so that all information necessary for navigation guidance is included in a node and a link In order to apply the service according to the battery consumption in the navigation, the consumption value is mapped. The boundary line of the arbitrary unit is created in the normalized data value for mapping the normalized data to the network road map for navigation, Extracts links of network roads entering the border, analyzes the weight of battery consumption according to road driving information including battery level, altitude, slope, or a combination thereof before applying the data to the extracted link, Apply to existing network road data To extract the battery level, the height, inclination or on battery power according to the driving information including a combination of features.

Further, the electric vehicle specialized navigation device according to an embodiment of the present invention may further include a user interface unit for displaying the extracted data through map mapping of battery consumption linked to the navigation network road map and providing the data to the user .

According to another embodiment of the present invention, there is provided an electric vehicle specialized navigation method, which receives raw data collected by a driving situation collector (DCC) and extracts reliable data by correcting coordinate values and correcting attribute values ; Mapping the battery consumption amount of each link linked to the navigation network road map by receiving the extracted reliable data; Receiving the mapped data and controlling battery consumption according to a driving situation; And storing the extracted data and the network road map data for navigation, wherein the battery consumption weight according to the change amount of the road slope per link is applied.

In the battery consumption and regenerative braking of the electric vehicle according to the present invention, the consumption amount of the battery is changed according to the inclination of the road, and the data of the battery consumption is collected and analyzed to estimate the amount of battery consumption according to the change of the road gradient. It is possible to provide a more efficient route search and route guidance by applying the battery consumption weight algorithm according to the present invention, thereby making it possible to safely operate the electric vehicle to the destination.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram illustrating a configuration of an electric vehicle-specific navigation system to which a battery consumption weighting algorithm is applied according to a road gradient change amount according to an embodiment of the present invention; FIG.
2 is a block diagram showing the configuration of a control unit according to an embodiment of the present invention;
3 is a diagram illustrating data normalization for a data filtering module for actual data according to an embodiment of the present invention.
4 is a diagram illustrating data normalization for upgrading a battery consumption mapping module for each link linked with a network road map for navigation according to an embodiment of the present invention;
FIG. 5 is a flowchart illustrating an operation method of an electric vehicle-specific navigation using a battery consumption weighting algorithm according to a road inclination change amount according to an embodiment of the present invention.
6 is a flowchart illustrating an operation method of a filtering unit according to an embodiment of the present invention.

Hereinafter, an embodiment of an electric vehicle specialized navigation apparatus and a method of applying the battery consumption weight algorithm according to the variation of the road slope according to the present invention will be described with reference to the accompanying drawings.

FIG. 1 is a block diagram illustrating a configuration of an electric vehicle-specific navigation system to which a battery consumption weighting algorithm according to an amount of road gradient change according to an embodiment of the present invention is applied.

The configuration of the electric vehicle specialized navigation system 10 using the battery consumption weighting algorithm according to the amount of change in the road gradient includes a DCC (Drive Condition Collector) 100, a control unit 200, a storage unit 300, a battery unit 400, And a display unit 500.

First, the DCC 100 calculates the driving state (or condition) and the road section driving information (i.e., the position (or coordinates) of the road) collected by the sensor unit 110 composed of a plurality of sensors including the sensor 1, the sensor 2, , Tilt, or speed. At this time, the data collected in the DCC is transmitted to the controller 200, and classifies and processes the input information related to the battery state and the traveling according to the type, and calculates weight information related to the battery consumption and stores the information in the database. Alternatively, a database may be constructed by directly collecting necessary information from various electronic control units (ECUs) related to each function substantially installed in the electric vehicle.

For example, the electronic control unit may include a transmission control unit (TCU), an electronic steering unit (EPS), an anti-lock brake system (ABS), or a battery management unit System). In addition, electric vehicles may include electronic control devices of various functions.

Although not shown in the drawings, the database includes a change in battery consumption according to the running speed of the vehicle, a change in battery consumption according to the continuous running distance, a change in battery consumption according to the temperature of the battery, Changes in battery consumption with changes in battery consumption depending on change, weight (or number of passengers), changes in battery consumption due to use of electric devices in the vehicle, and changes in slope of roads (eg, flat roads, uphill / downhill roads) , A change in battery consumption according to a road surface state (e.g., pavement road, unpaved road), or combinations thereof.

The storage unit 300 may be an external memory such as a built-in memory or SD (Secure Digital) memory or a USB memory as a nonvolatile memory for storing the database, (Or a data server connected to the network). Therefore, the apparatus according to the present invention may further include wired / wireless communication means (not shown) for the network or Internet connection.

Accordingly, the control unit 200 can accurately calculate the travel efficiency (or the travelable distance) corresponding to the remaining battery level by the travel situation or the travel route by using the weight information related to the battery consumption amount constituted by the database. The running efficiency according to the battery remaining amount may be represented by a direct voltage consumption amount or a ratio (or a percentage), or may be converted into a travelable distance or a travelable time corresponding to the battery remaining amount. The driving efficiency can also be displayed in the form of a gauge (for example, a digital gauge or an analogue gauge) on a vehicle instrument panel.

The battery unit 400 includes a plurality of batteries, and the control unit may receive various types of information from a database and control the battery so as to have different amounts of battery consumption according to road segment driving information.

The navigation display unit 500 may output the database controlled by the control unit to the navigation display to provide the user with various driving information including road segment driving information or battery consumption amount. Also, the control unit continuously manages the database, and when necessary, uses the information of the database to calculate the remaining battery power and the driving efficiency according to the information, thereby alerting the user. At this time, the alarm information may be output through a display means (e.g., instrument panel, navigation display) and audio means (e.g., radio or navigation audio) provided in the vehicle or may be provided with a separate alarm means can do.

Also, the controller 200 may calculate the remaining battery power and the driving efficiency according to the calculated remaining battery power, and output it through a portable terminal (e.g., a mobile phone, a smart phone, a tablet PC, a notebook computer) Must be able to access the network using wired / wireless communication protocols such as Wi-Fi and Bluetooth, and should provide a dedicated app (APP) for outputting the battery remaining amount and the driving efficiency accordingly.

2 is a block diagram illustrating a configuration of a controller according to an embodiment of the present invention.

The controller 200 includes a filtering unit 210, a battery consumption mapping unit 220, a battery management unit 230, a user interface (UI) unit 240 or a map matching unit 250 .

First, the data collected by the DCC 100 is transmitted to the sensor unit 110 through operation state data collected from a plurality of sensors including the sensor 1, the sensor 2, or the sensor N and the road segment driving information (e.g., position, Speed, etc.).

The raw data thus collected is transmitted to the filtering unit 210 of the control unit 200. In this case, since the raw data can not be directly applied to the navigation network road in the link unit, it is necessary to correct the coordinate values and attribute values (e.g., position, slope, speed, etc.) Can be used only when the correction is made.

In addition, the filtering unit 210 collects raw data through a DCC and a sensor, collects the collected data in a single file, or collects data having a point (or coordinate value) containing meaningless data or data with an out- Data can be removed and reliable data can be processed and secured. This process is the most basic filtering task for applying to network roads for navigation.

With this reliable raw data, a normalization process can be performed as a full-scale filtering operation.

Also, the reliable data extracted by the filtering unit 210 may be transmitted to the battery consumption mapping unit 220 to upgrade the battery consumption mapping unit for each link linked to the map of the navigation network road.

Then, the data extracted by the battery consumption mapping unit may be transmitted to the battery management unit 230 to control the battery consumption data according to the driving situation, and the controlled data may be transmitted to the battery unit 400.

The data extracted from the battery consumption mapping unit is transmitted to the user interface unit 240 and outputs driving situation information including battery consumption information to the navigation display through the navigation display unit 500 to display the road segment driving information or the battery consumption amount It is possible to provide the user with various driving information including the driving information.

In addition, after obtaining the reliable raw data in the filtering unit 210, the network road map data for navigation can be stored in the storage unit 300. Here, the network road map data for navigation stored in the storage unit may be transmitted to the map matching unit 250 together with the initial raw data collected in the DCC to upgrade the driving situation raw data map matching unit linked with the network road map. At this time, compatibility between the network road data for navigation and the driving situation raw data of the electric vehicle collected from the DCC is analyzed, and the merging of the network road data for navigation using the data collected by the DCC can be upgraded.

3 is a diagram illustrating data normalization for a data filtering module for actual data according to an embodiment of the present invention.

The normalization process performed by the filtering unit of FIG. 2 may include a first normalization process and a second normalization process as shown in FIG.

First, the first-order normalization process is a normalization process for position information, such as coordinate values (e.g., latitude and longitude). The corrected irregular coordinate values (or points) are virtually connected and connected to a connected virtual line This is the process of creating a new point with uniform spacing. That is, as shown in Fig. 3, the circle represents the DCC data coordinates, and the rectangle represents the normalized coordinates.

Next, the second normalization process is a process of inputting attribute data (e.g., location, slope, speed, etc.) of a road to a new point generated by the first normalization.

The first normalization process and the second normalization process will be described in more detail as follows. The primary normalization process filters irregularly input data to convert coordinate values of data obtained by actually measuring the DCC, that is, latitude or longitude, into network road data for navigation. At this time, the slope can be calculated as shown in Equation (1) between the reference point (x1, y1) and the next point (x2, y2).

Here, when the reference point and the next point are repeatedly performed in units of 20m as shown in FIG. 3, regular coordinates can be extracted. The distance between the reference point and the next point is not limited to 20 m.

It is also possible to calculate the slope as shown in Equation (2).

Next, the second normalization process merges the data obtained through the DCC into the regular coordinates extracted in the first normalization process. This process can also be calculated from the reference point as shown in equation (3).

과

는 두 개의 DCC 좌표에 대한 지점을 나타내고, 두 지점의 차이가

이 되며, 여기서 전체 거리에 대해서 중간에 존재하는 정규화 좌표가 존재하는 지점에 대한 비율이 전체를 100으로 보았을 때 어느 지점에 있는지를 나타내는 것이

이다.here

and

Represents the point for two DCC coordinates, and the difference between the two points is

Where the ratio of the distance to the point at which the normalized coordinate existing in the middle is present for the entire distance is at what point when the whole is seen as 100

to be.

In addition, the ratio-calculated data can be inserted as attribute data at a new point generated in the first normalization.

4 is a diagram illustrating data normalization for upgrading the battery consumption mapping process for each link linked to a network road map for navigation according to an embodiment of the present invention.

The process performed by the battery consumption mapping unit of FIG. 2 can upgrade the battery consumption mapping process for each link linked to the navigation network map, as shown in FIG.

As shown in FIG. 4, the network road map for navigation may consist of a node and a line-in-point, which are points. Here, the node represents coordinates composed of (x, y), and the link can represent various road information states including the altitude, weather, road surface condition, road packing state, The nodes and links also contain all the information necessary to navigate.

Therefore, the consumption value should be mapped to the network road map in order to apply the service according to the battery consumption value calculated through the node and the link in the navigation.

Next, a mapping method of battery consumption per link linked to a network road map will be described in detail as follows.

First, in order to map the normalized data to the network road map for navigation, a boundary of 10m units can be created in the normalized data coordinate value as shown in FIG. Here, the link of the network road that comes in the boundary line can be extracted. In Fig. 4, a point means a node, and one or more nodes can be constituted by respective links.

Before applying the data to the extracted link, it is possible to analyze the weight of the battery consumption according to the road driving information including the remaining battery level, altitude, slope, or a combination thereof. The weighted data analyzed here can be applied to existing network road data to extract the amount of battery consumption according to road running information including remaining battery level, altitude, slope, or a combination thereof.

Also, as shown in FIG. 4, the GPS direction may be determined at an intersection portion to extract a link.

FIG. 5 is a flowchart illustrating an operation method of an electric vehicle-specific navigation using a battery consumption weighting algorithm according to a road inclination change amount according to an embodiment of the present invention.

First, raw data is collected in the DCC as shown in FIG. 5 (S10). Since the primitive data can not be directly applied to the network road for navigation in the link unit, the filtering unit corrects the coordinate value and the attribute value, that is, the position, slope, or speed of the road, Correction is performed to extract reliable data (S20). The filtering operation consists of a first normalization process and a second normalization process. Thereafter, the reliability data extracted by the filtering unit is transmitted to the battery consumption mapping unit, and the link consuming battery consumption mapping module linked with the navigation network road map is advanced (S30). Here, the data extracted by the battery consumption mapping unit is transmitted to the battery management unit to control the amount of battery consumption according to the driving situation (S40). Thereafter, the data extracted from the battery consumption mapping unit is transmitted to the user interface unit, and the driving situation information including the battery consumption information is displayed in the navigation (S50). The navigation network road map data extracted by the filtering unit is stored in the storage unit (S60). At this time, the network road map data for navigation stored in the storage unit is transmitted to the map matching unit together with the initial raw data collected in the DCC, thereby enhancing the driving situation raw data map matching module linked with the network road map (S70).

As described above, the electric vehicle consumes more battery on the uphill road (or road), and the battery is charged by the regenerative braking on the downhill road.

Thus, by acquiring and analyzing battery consumption and regeneration information according to the slope of the electric vehicle driving road with the battery consumption per link obtained through link tilt information and battery residual amount data according to the altitude of each road section, The battery consumption weight algorithm needs to be built.

A characteristic of an algorithm capable of varying the measurement of the battery consumption weight according to a change in an inclination of 5 degrees, 10 degrees, or an inclination including these inclination is required.

In addition, the battery consumption weight algorithm according to the change of the road inclination of each link can be defined as Equation (4).

는 링크거리를 나타내고,

는 도로의 기울기(예 : 0.5단위)를 나타내고,

는 배터리 소모량(예 : m(미터) 기준),

는 출발 시 마찰력(도심지역에 필요),

는 차량의 무게(차량 및 탑승인원, 적재 무게 등을 포함)를 의미한다.here

Represents the link distance,

Represents the slope of the road (e.g., 0.5 unit)

(E.g., based on m (meters)),

(When needed in urban areas),

Means the weight of the vehicle (including the vehicle and the passengers, the load weight, etc.).

6 is a flowchart illustrating an operation method of a filtering unit according to an embodiment of the present invention.

As shown in FIG. 6, the normalization process of the filtering unit is performed in a first normalization process (S100) and a second normalization process (S200). First, in the first normalization process, irregularly input data is filtered in order to convert coordinate values of data obtained by actually measuring the DCC, that is, latitude or longitude, into navigation network road data (S110). At this time, the slope is calculated between the reference point and the next point (S120). Subsequently, the reference point and the next point are repeated in units of 20m, and regular coordinates are extracted (S130).

Next, in the second normalization process, data obtained through DCC are merged into regular coordinates extracted in the first normalization process (S210). At this time, the ratio is calculated at the reference point (S220). The rate-calculated data is then inserted into the new point created in the first normalization (S230).

In the battery consumption and regenerative braking of the electric vehicle according to the present invention, the consumption amount of the battery is changed according to the inclination of the road, and the battery consumption amount according to the change of the road inclination can be estimated by collecting and analyzing the data, It is advantageous in that the electric vehicle can be safely operated to the destination by providing more efficient route search and route guidance by applying the battery consumption weight algorithm according to the change.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. .

10: Electric car specialized navigation 100: Driving situation collector (DCC)
110: sensor unit 200:
210: filtering unit 220: battery consumption mapping unit
230: Battery management unit 240: User interface unit
250: map matching unit 300:
400: battery unit 500: navigation display unit

Claims (10)

A filtering unit for receiving raw data collected by a driving situation collector (DCC) and extracting reliable data by correcting coordinate values and correcting for attribute values;
A battery consumption mapping unit for receiving data extracted by the filtering unit and mapping a battery consumption amount for each link linked to a navigation network road map;
A battery management unit for receiving data extracted by the battery consumption mapping unit and controlling the amount of battery consumption according to a driving situation; And
And a storage unit for storing the data extracted by the filtering unit and the network road map data for navigation,
And a battery consumption weight according to the change amount of the road slope by the link is applied to the electric vehicle. The method according to claim 1,
Wherein the filtering unit comprises:
The DCC sensor collects raw data in a single file in the process of collecting raw data, or filters at least one of data at points (or coordinates) at which meaningless data comes in or out of an error range to process reliable data,
A first order normalization process for filtering irregularly incoming data to convert the values of latitude and longitude of data obtained by actually measuring the DCC into network road data for navigation; And
And a second normalization process of merging the data obtained through the DCC on the regular coordinates extracted in the first normalization. The method according to claim 1,
Wherein the filtering unit comprises:
The network road map data for navigation stored in the storage unit and the initial raw data collected in the DCC are received together to enhance the mapping of the driving situation raw data map in connection with the network road map, and the navigation road network data and the electric vehicle Wherein the navigation device analyzes the compatibility between the driving situation raw data and the data collected by the DCC to refine the merging of the network road data for navigation. The method according to claim 1,
Wherein the battery consumption mapping unit comprises:
The network road map for navigation is composed of a point-in node and a line-in-link. The node and the link include all the information necessary for the navigation guidance. The navigation unit maps the consumption value to apply the service according to the battery consumption,
A method of generating a boundary of arbitrary units in a normalized data value for linking the normalized data with a network road map for navigation, extracting a link of an incoming network road at the boundary, The analyzed data is applied to the existing network road data to calculate the remaining battery level, altitude, slope, or a combination thereof, and analyzes the weight of the battery consumption according to the road driving information including the remaining amount, altitude, And extracting a battery consumption amount according to the information. The method according to claim 1,
Further comprising a user interface unit configured to display data extracted through mapping of battery consumption of each link linked to a network road map for navigation, and to display the extracted data to a user. Receiving raw data collected by a driving situation collector (DCC) and extracting reliable data by correcting coordinate values and correcting for attribute values;
Mapping the battery consumption amount of each link linked to the navigation network road map by receiving the extracted reliable data;
Receiving the mapped data and controlling battery consumption according to a driving situation; And
And storing the extracted data and the network road map data for navigation,
And a battery consumption weight according to the change amount of the road slope by the link is applied. The method of claim 6,
The step of extracting the reliable data comprises:
The DCC sensor collects raw data in a single file in the process of collecting raw data, or filters at least one of data at points (or coordinates) at which meaningless data comes in or out of an error range to process reliable data,
A first order normalization process for filtering irregularly incoming data to convert the values of latitude and longitude of data obtained by actually measuring the DCC into network road data for navigation; And
And a second normalization step of merging the data obtained through the DCC on the regular coordinates extracted in the first normalization. The method of claim 7,
The step of extracting the reliable data comprises:
The stored navigation network road map data and the initial raw data collected in the DCC are received together to enhance the mapping of the driving situation raw data map in connection with the network road map, and the navigation road network data and the driving situation Analyzing the compatibility between the raw data and enhancing the merging of the network road data for navigation by utilizing the data collected by the DCC. The method of claim 6,
The step of mapping the battery consumption includes:
The network road map for navigation is composed of a point-in node and a line-in-link. The node and the link include all the information necessary for the navigation guidance. The navigation unit maps the consumption value to apply the service according to the battery consumption,
A method of generating a boundary of arbitrary units in a normalized data value for linking the normalized data with a network road map for navigation, extracting a link of an incoming network road at the boundary, The analyzed data is applied to the existing network road data to calculate the remaining battery level, altitude, slope, or a combination thereof, and analyzes the weight of the battery consumption according to the road driving information including the remaining amount, altitude, And the amount of battery consumption according to the information is extracted. The method of claim 9,
The step of mapping the battery consumption includes:
And displaying the extracted data through the mapping of the battery consumption per link linked to the network road map for navigation, and providing the displayed data to the user.

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