KR20140042281A - A navigation apparatus using the weight information related to battery consumption of an electrical auto-mobile and the method thereof - Google Patents

Abstract

The present invention relates to a navigation device using weighted value information relative to the battery consumption of an electric vehicle and a method thereof. The method of the present invention comprises calculating driving efficiency according to the residue of a battery by using the weighted value information of battery consumption directly related to the driving of an electric vehicle; and providing an optimal route which can minimize the battery consumption based on the driving efficiency, and minimizing the battery consumption based on the driving efficiency. Therefore, the device and the method of the present invention enable a user to safely drive an electric vehicle to the destination while maintaining the stable residue of the battery without the waste of time and costs of the user. [Reference numerals] (210) Storage part; (220) Weighted value information detection part; (230) Driving efficiency calculation part; (240) Control part; (AA) Weighted value information on road sections; (BB) Driving efficiency for driving routes

Description

Navigation apparatus using weight information related to battery consumption of electric vehicle and its method {A NAVIGATION APPARATUS USING THE WEIGHT INFORMATION RELATED TO BATTERY CONSUMPTION OF AN ELECTRICAL AUTO-MOBILE AND THE METHOD THEREOF}

The present invention relates to a navigation device and a method using the weight information related to the battery consumption of the electric vehicle, and more particularly, using the weight information related to the battery consumption of the electric vehicle calculates the accurate driving efficiency according to the remaining battery capacity, The present invention relates to a navigation device and a method for guiding a path and a driving method for minimizing battery consumption based on the driving efficiency.

Recently, as global exhaustion of energy and interest in the environment have increased, the automobile industry is concentrating on the development of environment-friendly electric vehicles with low energy consumption.

However, since the electric vehicle uses electricity as a power source, it has an advantage of significantly reducing pollution, but even at the same distance, the operating environment of each road (uphill, downhill, altitude, etc.) and the operation or occupancy of electric devices in the vehicle, or The driving efficiency could not be calculated accurately because there is a drastic difference in battery consumption depending on the weight. Here, the driving efficiency refers to the running cost of the electric vehicle, and means, for example, the driving distance Km with respect to the battery consumption amount W, that is, the distance that the electric vehicle can travel with the remaining amount of the battery.

In other words, the conventional electric vehicle displays the remaining battery capacity, but it is not possible to predict the accurate driving time or the driving distance by a simple display of the remaining battery power, which does not consider battery consumption according to the driving environment. That is, when the battery consumption increases due to a change in the driving environment (or battery consumption rate according to the driving environment) of the electric vehicle, the remaining battery power is consumed more rapidly. Because only the available driving distance is displayed, it is not possible to predict the exact driving time, the driving distance, or the complete consumption time of the remaining battery power according to the remaining battery power. Therefore, the user may be in a situation where the charging is performed in advance even when the user does not have to be charged with anxiety.

In addition, since the charging of the battery of the electric vehicle takes at least 30 minutes for fast charging and at least 6 hours for slow charging, a user wastes time and money when charging is performed in a situation where charging is unnecessary. There is this. In addition, the above problems may occur more seriously when the infrastructure of the charging station for charging the electric vehicle is not sufficiently equipped.

In view of this, in the past, a navigation system for guiding the location of a nearby charging station is known, when the time when the battery needs to be charged, but charging only by the remaining battery charge, without considering the battery consumption speed according to the driving environment Since it is necessary to determine when this battery is completely consumed, there is still a problem that it is impossible to accurately predict the time at which the battery can be run, the time at which the battery can run, or the distance at which it can run. As a result, the charging may be performed at an unnecessary time point, resulting in a waste of time and money, or a situation in which charging is not possible.

The present invention was created to solve the above problems, using the weight information of the battery consumption directly related to the operation of the electric vehicle calculates the running efficiency according to the remaining battery capacity, based on the running efficiency battery consumption It is an object of the present invention to provide a navigation device and a method for guiding an optimal path which can minimize the number.

In addition, the present invention calculates the driving efficiency according to the battery remaining amount based on the weight information of the battery consumption directly related to the operation of the electric vehicle, and guides the vehicle driving method that can minimize the battery consumption by using the driving efficiency An object of the present invention is to provide a navigation device and a method thereof.

According to an aspect of the present invention, a navigation apparatus using weight information related to battery consumption of an electric vehicle includes: driving route searching means for searching a driving route connecting a starting point and a destination; Driving efficiency calculating means for calculating driving efficiency for each of the searched driving paths using at least one weight information related to battery consumption according to a driving environment; And control means for selecting and displaying a driving route having the best driving efficiency, when the driving efficiency for each driving route is calculated, wherein the control means comprises: an actual driving distance and a current battery of the selected driving route; Comparing the driving allowable distance with the remaining amount, and if the driving allowable distance is shorter than the actual driving distance, detecting and outputting a method capable of increasing the traveling efficiency, and the control means can increase the traveling efficiency. The method includes at least one of deceleration of the traveling speed, deactivation of the electric device, shortening of the continuous running time, charging of the battery, reduction of onboard weight, lowering of temperature, or a combination thereof, wherein the control means is configured to adjust the running efficiency. When guiding methods that can be increased, weight information corresponding to each method, or driving that can be increased when each method is performed The control means further guides the location of the battery charging station located within the driving distance, or if the driving means is shorter than the actual driving distance even if the driving efficiency is increased. By re-searching and displaying the driving route having the best driving efficiency while passing through, the driving efficiency calculating means detects and sums each weight information of each road section of the found driving route, and adds the weight information using the summed weight information. The driving efficiency for each corresponding driving route is calculated, and the driving route having the best driving efficiency is a driving route capable of running with the least battery consumption in consideration of the driving environment.

According to an aspect of the present invention, a navigation method using weight information related to battery consumption of an electric vehicle includes: a first step of searching for a driving route connecting a starting point and a destination; Calculating a driving efficiency for each of the searched driving paths; And a third step of selecting and displaying a driving path having the best driving efficiency among the driving paths when the driving efficiency is calculated for each driving path, wherein the second step is related to battery consumption according to the driving environment. The driving efficiency may be calculated by using weight information. The third step may include comparing the actual driving distance of the selected driving route with the distance that can be driven by the current battery level, and the driving distance may be shorter than the actual driving distance. In this case, a fifth step of detecting and outputting a method for increasing driving efficiency may be further included. The third step may include a method for increasing the driving efficiency. At least one of discontinuing use, shortening of continuous running time, charging of a battery, reduction of onboard weight, lowering of temperature, or a combination thereof; The method may further include outputting weight information corresponding to each method or driving distance that may be increased when performing each method when outputting a method of increasing the driving efficiency. In step 3, even when the driving efficiency is increased, when the driving distance is shorter than the actual driving distance of the driving route, the step of guiding the location of the battery charging station located within the driving distance, or passing the battery charging station is the best driving efficiency. And a sixth step of re-navigating and displaying a route, wherein the second step includes detecting and summing each weight information of each road section of the searched driving route and using the summed weight information. The driving efficiency is calculated for each corresponding driving route, and the third step includes the shortest driving route, the shortest driving route, and the road operation. Displaying the battery consumption at least one of the minimum traveling path and are combined traveling route taking into account the environment, the traveling route is characterized in that the display to selectively including or via the highway, road speed, national road, prefectural road.

The present invention can calculate the running efficiency according to the remaining battery capacity by using the weight information of the battery consumption directly related to the operation of the electric vehicle, and can guide the optimal path to minimize the battery consumption based on the driving efficiency In addition, by using the driving efficiency to guide the vehicle operation method that can minimize the battery consumption, it is possible to safely drive the electric vehicle to the destination while maintaining a stable battery level without wasting user's time and cost There is.

1 is a block diagram showing a configuration of an apparatus for collecting a weight information related to battery consumption of an electric vehicle according to an embodiment of the present invention to construct a database, and calculating the driving efficiency using the weight information.
FIG. 2 is an example of a database configured with weight information related to battery consumption in FIG. 1; FIG.
3 is a flowchart illustrating a collection method of weight information related to battery consumption of an electric vehicle and a driving efficiency calculation method using the weight information according to an embodiment of the present invention.
4 is a block diagram illustrating a configuration of a navigation device using weight information related to battery consumption of an electric vehicle according to an embodiment of the present invention.
FIG. 5 is an exemplary diagram for describing a method of detecting weight information for each road section of a found driving route in FIG. 4.
6 is a flowchart illustrating a navigation method using weight information associated with battery consumption of an electric vehicle according to an embodiment of the present invention.
FIG. 7 is an exemplary view showing a screen guiding a method of increasing driving efficiency with the same battery level in FIG. 6.

Hereinafter, a driving route and a vehicle driving method for calculating driving efficiency for each road section by using weight information related to battery consumption of an electric vehicle and minimizing battery consumption based on the driving efficiency will be described with reference to the accompanying drawings. An embodiment of a guiding navigation device and method thereof is described.

First, FIG. 1 is a block diagram illustrating a configuration of an apparatus for collecting a weight information related to battery consumption of an electric vehicle according to an embodiment of the present invention, constructing a database, and calculating driving efficiency using the weight information.

As shown therein, the driving efficiency calculation apparatus according to an embodiment of the present invention includes a battery manager 110 for detecting a battery state of an electric vehicle or managing charging of the battery, and a sensor unit for detecting information related to driving of the vehicle. 120, first and second interface units 130 and 140 for converting and receiving information related to the state and the driving of the battery into a form suitable for processing by the controller 150, and related to the state and the driving of the battery. A controller 150 may be configured to process information into a database, or calculate a driving efficiency using the information of the database, and a storage unit 160 to store the database and an algorithm related to calculating the driving efficiency.

The battery management unit 110 manages the charging and discharging of the battery so as to be performed in a predetermined region (an area for preventing overcharging and over-discharging). When the battery is fully charged or completely discharged, When there is a disadvantage, when the battery is charged, it indicates that the charging is completed when the charging state is about 2/3. When the discharging is about 2/3 (when the remaining battery power is about 1/3) It can be alarmed to recharge.

For example, the battery manager 110 charges only in a battery use section (for example, when the total capacity of the battery is divided into three parts, when the remaining 1/3 section is set as the use section except for 1/3 section, respectively). It is managed to perform the over discharge, and detects the state information of the battery (for example, remaining amount, voltage, current, temperature, etc.) and outputs it to the controller 150.

The battery manager 110 may detect the remaining battery amount in various ways in consideration of the purpose and the cost.

For example, there is a voltage-based battery level detection method, which is widely used in portable devices due to its low cost and simple structure, but is vulnerable to battery impedance variation occurring over time, and is a dynamic load condition and temperature change. Because of this, measurement errors of up to 50% may occur, so it may not be suitable as a method for detecting the remaining battery capacity of a vehicle that prioritizes safety.

There is a battery residual quantity detection method using the following Coulomb counting technique, which takes an alternative approach of continuously integrating the Coulomb value to calculate the used charge and state of charge (SOC: state of charge) The remaining capacity can be calculated using knowledge, but this method has a disadvantage in that accurate modeling is difficult for self discharge. This is because, if there is no calibration of the periodic full cycle (charge cycle), the measurement error accumulates with the elapse of time (self-discharge time of the battery).

In addition, there is a battery residual quantity detection method using the impedance track technology. This is a dynamic modeling which can track the change of the impedance and the capacity during the use time of the real battery and can recognize the characteristics of the battery under the conditions of aging, As a method of implementing the algorithm, this method does not require a separate capacity calibration for the periodic full cycle because the compensation for load and temperature is accurately modeled using knowledge of the cell impedance, Dynamic learning has the advantage that the accuracy of battery measurements can be maintained throughout the life of the battery.

Therefore, the battery manager 110 may be configured by any one of the above-described battery remaining amount detection methods or a combination thereof. However, the battery remaining amount detecting method exemplified above is only described as an embodiment, and the battery remaining amount detecting method is not limited thereto. Therefore, when there is a battery residual quantity detection method which is further improved, it can be changed or combined with another method. In addition, when the battery is charged by the regenerative braking force on the downhill road, the battery manager 110 may detect the remaining battery capacity by reflecting the charged capacity.

The sensor unit 120 may include at least one sensor (e.g., a tilt sensor, a GPS, an on / humidity sensor) for detecting information (e.g., position, road inclination, road surface condition, , A vibration sensor, a weight sensor, etc.).

The first interface unit 130 and the second interface unit 140 are connected to the battery management unit 110 and the sensor unit 120. The first interface unit 130 and the second interface unit 140 are connected to the controller unit 150, (Eg, A / D conversion, amplification, noise cancellation, etc.).

In addition, the controller 150 classifies and processes information related to the battery state and the driving inputted through the first and second interface units 130 and 140 for each type to calculate weight information related to battery consumption and to configure a database. do. Alternatively, a database may be configured 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 (ECU) may include an automatic transmission control unit (TCU), an electronic steering unit (EPS), an anti-lock brake system (ABS), and a battery management unit (BMS). : Battery Management System). In addition, the electric vehicle may include an electronic control unit (ECU) having various functions.

As shown in FIG. 2, the database may include a change in battery consumption according to a driving speed of a vehicle, a change in battery consumption according to a continuous driving distance, a change in battery consumption according to a battery temperature, and an ambient temperature / humidity. Changes in battery consumption, changes in battery consumption due to onboard weight (or occupants), changes in battery consumption due to the use of in-vehicle electrical devices, and changes in the slope of roads (e.g. flat roads, uphill / downhill roads) A database including at least one of a change in battery consumption, a change in battery consumption according to road conditions (eg, pavement, unpaved road), or a combination thereof may be configured.

Here, the method for detecting the traveling speed uses a method of determining the rotational speed of the transmission output shaft or the rotational speed of the wheel (tire), and generally uses a magnetic type (including a lead switch) and a hall type sensor. For example, since the gear ratio of the differential gear and the size of the tire are determined in an automobile, the speed of the automobile can be calculated by knowing the number of revolutions of the transmission output shaft or the wheel. The traveling speed may be detected using the number of revolutions of the wheel and the circumferential length of the tire. If the size of the tire (or the circumferential length) is changed by changing the size of the tire or by changing the tire air pressure, the accurate travel distance can be detected by reflecting the information.

In this case, the database shown in FIG. 2 is based on a randomly set reference, each time the driving speed increases in units of 10 km / h. Gradually increase from 1.5% to 3.1%, 4.7% and 6.5%, and each time the continuous mileage increases by 1 km, the battery consumption gradually increases from 1.5% to 3.1%, 4.7% and 6.5%, and the weight is 5 kg. Each unit increase increases battery consumption from 2.0% to 4.1%, 6.2%, 8.5%, and every 3 degrees increase battery consumption from 1.0% to 2.1%, 3.2%, 4.3%. Gradually increasing, it can be seen that the battery consumption gradually increases from 3.2% to 6.5%, 10.9%, and 17.2% whenever the electricity consumption of the electric device increases by 1W.

In this case, the change in the battery consumption amount (weighting information) according to the various driving conditions described above is described as an embodiment, and an additional database may be configured for the driving conditions (or information causing battery consumption) not described above. Be careful. The amount of battery consumption between each incremental unit can be calculated by dividing each incremental unit value and battery consumption equally if necessary, and the weight information related to the corresponding battery consumption amount.

On the other hand, the database can be pre-configured and installed continuously through repetitive testing before the vehicle is launched by an electric vehicle manufacturer, and can continuously provide updates. It is also possible to provide a personal update in consideration of the user's individual driving characteristics.

The storage unit 160 is a means for storing the database, for example, a non-volatile memory may be an internal memory or an external memory such as a Secure Digital (SD) memory (card) or a USB memory, and may be accessed through the Internet. Cloud-type storage (or data servers connected to a network). Therefore, the apparatus according to the present invention can additionally include wired / wireless communication means (not shown) for the network or Internet connection.

Accordingly, the controller 150 can accurately calculate the driving efficiency (or driving distance) corresponding to the battery remaining amount by driving condition or driving path by using weight information related to the battery consumption amount configured in the database. The running efficiency according to the battery remaining amount may be represented by a direct voltage consumption amount or a percentage (percentage), or may be converted into a running distance or a travelable time corresponding to the battery remaining amount. And the running efficiency can be displayed in the form of a gauge (for example, digital gauge, analog gauge) on the vehicle instrument panel.

In addition, the controller 150 continuously manages the database, and when necessary, calculates the remaining battery capacity and driving efficiency according to the information of the database, and alarms the user. In this case, the alarm information may be output through a display means (for example, an instrument panel) and an audio means (for example, a radio) provided in a vehicle, or may be output with a separate alarm means (or an alarm software app).

In addition, the controller 150 may calculate the battery remaining amount and the driving efficiency thereof and output the same through a user's mobile terminal (eg, a mobile phone, a smart phone, a tablet PC, a laptop, etc.). The network 150 should be able to access a network using a wired / wireless communication protocol such as Wi-Fi and Bluetooth, and should provide a dedicated app (APP) for outputting the battery remaining amount and driving efficiency accordingly.

3 is a flowchart illustrating a method of calculating weighting information related to battery consumption of an electric vehicle and calculating a driving efficiency using the weighting information, according to an embodiment of the present invention. When the power is supplied to the electric vehicle, the collecting device receives information related to a battery state and driving (S101).

The battery state and information related to driving may be periodically input or automatically input when a specified specific condition is reached (or when the driving state is changed). For example, the information related to the battery state and the traveling is inputted at intervals of a predetermined time (for example, 1 minute), or the vehicle enters the unpaved road on the pavement road, enters the road with a predetermined slope on the flat road, (For example, a radio) and then use other electrical devices (such as an air conditioner) to change the information related to driving.

When the information related to the battery condition and the driving is input as described above, the controller classifies the information into categories, and calculates the amount of battery consumption and the weight information corresponding to the classified information (S102). In this case, each of the information may have a different battery consumption and a different weight, and the weight associated with the battery consumption of each information may be changed as the driving environment changes. For example, suppose an electric vehicle is driving on a flat pavement at a constant speed of 80 km / h. The driving speed is not changed, but the information (eg, continuous mileage and battery temperature) is increased because the continuous mileage and the battery temperature rise. The weight information related to the battery consumption may be changed.

Accordingly, the controller calculates weight information for each type of information and stores the weight information in a database or updates existing weight information (S103).

When the database is configured as described above, accurate driving efficiency according to the current battery remaining amount can be calculated using the weight information related to the battery consumption amount (S104). For example, assuming that the current battery level is about 40% of the total battery capacity, how much more driving is possible in the current driving state because the battery level (eg, 40%) is simply displayed without considering weight information. In the present invention, since the driving efficiency may be calculated in consideration of the weight information stored in the database, it is possible to accurately know how much more the vehicle can be driven with the current battery level in the current driving state. That is, the total weight information according to the current running state is calculated, and the running efficiency according to the current battery remaining amount can be calculated using the total weight information.

When the driving efficiency is calculated as described above, it is possible to accurately calculate and output a distance that can be driven or a time that can be traveled with the remaining battery capacity in consideration of the speed at which the battery is consumed in the current driving state, not just the remaining battery capacity. . For example, assuming that the current battery level is about 50% of the total capacity and the sum of the weights related to the battery consumption is 50% (that is, assuming that the sum of the weight information related to the battery consumption is 50% per hour) (For example, 50%), assuming that the sum of the weights related to the battery consumption is 100% (that is, 100% per hour) It is possible to drive for about 30 minutes.

As described above, the present invention enables accurate calculation of driving efficiency using weight information related to battery consumption, thereby guiding a method for further increasing the driving distance with the current battery level. For example, if you are using an electric device with a high battery consumption weight, you may be advised not to use the electric device, or if it is too high, you may want to travel at a speed below the economy speed, Or if the battery remaining amount is smaller than the distance to be operated, the battery charging station in the driving route may be guided to request charging.

4 is a block diagram showing a configuration of a navigation apparatus using weight information related to battery consumption of an electric vehicle according to an embodiment of the present invention, and more specifically calculated using weight information related to battery consumption of an electric vehicle. A block diagram showing a configuration of a navigation device capable of guiding a driving route and a vehicle driving method capable of minimizing battery consumption based on driving efficiency by road section.

As shown, the navigation device of the electric vehicle according to an embodiment of the present invention, the storage unit 210 for storing a database consisting of weight information related to battery consumption, when searching for a driving route connecting the starting point and the destination, Weight information detection unit 220 for detecting the weight information for each road section of the driving route using a database, a driving efficiency calculation unit for calculating the running efficiency of each searched driving route using the detected weight information for each road section 230, selecting and guiding the driving route having the best driving efficiency, and also calculating driving efficiency (distance or time that can be substantially operated in the current driving environment) or driving efficiency according to the remaining battery in the driving route. Operational methods that may increase (e.g. maintaining economic speed, discontinuing the use of electrical equipment not directly related to operation, It is configured to include a control unit 240 to guide the re-filling station via, etc.). The mobile terminal may further include a route searcher (not shown) for performing the driving route search based on the GPS information and a map database (not shown).

First, the database is composed of weighted information related to battery consumption of an electric vehicle, and is related to battery consumption according to the state of each section of the road (eg, uphill road, downhill road, unpaved road, traffic jam road, etc.). Store weight information. Therefore, when the driving route connecting the starting point and the destination is searched, the weighting information of the roads for each section of the driving route is summed to calculate the driving efficiency for the found driving route using the summed weight information. Will be.

The weight information detection unit 220 detects weight information for each road section of the driving route using the database when searching for a driving route connecting the starting point and the destination. In this case, at least one driving path may be searched for, and the weight information detecting unit 220 detects weight information for each road section for each searched driving path.

For example, as shown in FIG. 5, a driving route consisting of a section A (for example, a flat road), a section B (uphill road), and a section C (downhill road) having a different driving environment is searched, and each road section is determined. The weight related to battery consumption in section A is about 10%, the weight related to battery consumption in section B is about 15%, and the weight related to battery consumption in section C when driving at the reference speed (or average speed) Assuming that is about 5% in consideration of the regenerative braking force, the weight information detector 220 detects and sums the weight information of the roads for each section of the driving route. As a result of summing the weight information for each road segment, it can be seen that the sum of weights related to battery consumption in the found driving route is about 30%.

The driving efficiency calculator 230 calculates driving efficiency for the searched driving route using the detected weight information for each road section. For example, assuming that the weight of the driving route (when the weight information related to other battery consumption is not taken into consideration) as shown in FIG. 5 is 30%, the weight information (for example, 30%) In consideration of the above, the driving efficiency (mileage based on battery consumption) for the corresponding driving route is calculated. If more driving routes are found, the driving efficiency for each driving route is calculated separately. The driving efficiency calculated for each driving route is stored in an arbitrary area of the storage unit 210.

The controller 240 compares the driving efficiency calculated for each driving route, and selects the driving route having the best driving efficiency. That is, the optimum driving route that can run with the least battery consumption is selected in consideration of the driving environment. The running efficiency is typically proportional to the travel distance but not necessarily directly proportional. For example, driving in a battery-intensive driving environment (e.g., an uphill road, an unpaved road, a road with relatively heavy traffic, etc.) even when the driving distance is short may be more efficient than driving through a long driving distance. This can fall. Therefore, the present invention uses the driving efficiency calculated in consideration of the driving environment to select and guide the optimal driving route with the lowest battery consumption.

However, the distance that can be traveled with the current battery level (travelable distance estimated using the driving efficiency) may not reach the actual driving distance of the selected optimal driving path. In this case, the controller 240 may guide a vehicle driving method (that is, a method of extending the distance that can be driven by the current battery level by reducing battery consumption) that can increase driving efficiency.

For example, the controller 240 may output elements (for example, an electric device, a traveling speed, a traveling time, etc.) that are currently consuming a battery to the display means. At this time, the elements that consume the battery are preferably output in the order from the largest weight to the smallest (that is, from the largest to the smallest battery consumption). For example, assuming that an electric device such as an air conditioner, a CD player, or an interior lighting is used, the items and weight information may be displayed in order from the largest to the lowest battery consumption. In addition, it is possible to further display the driving distance that can be increased when removing the elements that are consuming the battery, and can also additionally display the battery charging station position to charge the battery.

Accordingly, when the user removes the corresponding elements by referring to the information on the elements consuming the output battery, that is, stops the operation of the electric device, lowers the driving speed below the economic speed, or executes continuous driving. When stopping and lowering the engine's temperature (or battery's temperature), or by reducing the payload, to remove the elements that are consuming the battery, you can reduce the mileage by reducing the rate at which the battery consumes by that weight. It can be extended.

6 is a flowchart illustrating a navigation method using weight information related to battery consumption of an electric vehicle according to an embodiment of the present invention, and more specifically, by road section calculated using weight information related to battery consumption of the electric vehicle. This is a flowchart for explaining a navigation method that can find and guide a driving route and a vehicle driving method that can minimize battery consumption based on driving efficiency.

As shown in the drawing, when the navigation command of the driving route connecting the starting point and the destination is input (S201), the navigation method of the electric vehicle according to the exemplary embodiment of the present invention searches for all possible driving routes (S202).

At least one driving route corresponding to the preset driving route display option is displayed on the display means.

For example, the driving route may include a shortest driving route and a shortest driving route, and may display a driving route selectively including or passing through a highway, a high speed road, a national road, and a local road depending on whether a toll / free road is selected. have. In addition, in the present invention, in consideration of a road driving environment (eg, an uphill road, a downhill road, a dirt road, a pavement, etc.), the driving path having the best driving efficiency (that is, the battery consumption rate is the least) is determined. Can display more.

To this end, the present invention calculates driving efficiency for each of the searched driving paths (S203). For example, by using a database composed of weight information related to battery consumption, each weight information for each road section of the driving path is detected and summed, and the running efficiency for each corresponding driving path is calculated using the weighted information. do.

When the driving efficiency for each driving route is calculated as described above, the driving route having the best driving efficiency is selected and displayed as the battery driving minimum driving route (S204).

However, if the distance that can be driven with the current battery level is shorter than the actual driving distance of the minimum battery consumption path, a method of increasing driving efficiency (that is, a method of extending the driving distance or a battery consumption amount) may be used. Can be detected and output.

For example, as illustrated in FIG. 7, a list of elements (or elements that may increase driving efficiency) that is currently being used for a battery may be output, and may be increased when the user removes the battery consumption elements. Can guide the range. For example, when the user stops the air conditioner having a battery consumption weight of 25%, the driving distance may increase by 5 km at the same battery level (eg, 30%). In addition, you can extend the range by reducing the speed at which the battery is consumed by a weight equivalent to lowering the driving speed below economic speed (80 km), turning off the CD player, or turning off the interior lighting. Can be.

If the remaining battery capacity is insufficient despite the extension of the driving distance as described above, the location of the battery charging station located within the driving distance can be guided, or the minimum driving path of the battery consumption passing through the battery charging station is displayed again. can do.

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 embodiments, but, on the contrary, I will understand the point. Accordingly, the technical scope of the present invention should be defined by the following claims.

110: battery management unit 120: first interface unit
130: sensor unit 140: second interface unit
150: control unit 160:
210: storage unit 220: weight information detection unit
230: driving efficiency calculation unit 240: control unit

Claims (14)

Driving route search means for searching a driving route connecting the starting point and the destination;
Driving efficiency calculating means for calculating driving efficiency for each of the searched driving paths using at least one weight information related to battery consumption according to a driving environment; And
And a control means for selecting and displaying a driving route having the best driving efficiency among the driving routes when the driving efficiency is calculated for each driving route.
The method according to claim 1, wherein the control means,
Compare the actual driving distance of the selected driving route with the available driving distance at the current battery level, and if the driving distance is shorter than the actual driving distance, detecting and outputting a method for increasing driving efficiency. Navigation device using the weight information related to the battery consumption of the electric vehicle.
The method according to claim 2, wherein the control means,
The method of increasing the running efficiency may include at least one of driving speed reduction, stopping of the electric device, shortening of continuous running time, charging of a battery, reduction of onboard weight, lowering of temperature, or a combination thereof. Navigation apparatus using the weight information related to the battery consumption of the electric vehicle.
The method of claim 3, wherein the control means,
In the case of guiding a method for increasing the driving efficiency, the electric vehicle further includes guiding a weighting information corresponding to each method or a driving distance that can be increased when performing each method. Navigation device using the weight information related to the battery consumption of the.
The method according to claim 2, wherein the control means,
If the driving distance is shorter than the actual driving distance even though the driving efficiency is increased, the position of the battery charging station located within the driving distance can be guided, or the driving path having the highest driving efficiency can be re-searched and displayed while passing through the battery charging station. Navigation apparatus using the weight information related to the battery consumption of the electric vehicle, characterized in that.
The method according to claim 1, wherein the running efficiency calculation means,
Detecting and summing the weight information for each road section of each of the searched driving paths, and calculating the driving efficiency for each corresponding driving path by using the summed weight information, respectively. Navigation device using the associated weight information.
The driving route of claim 1, wherein the driving route having the best running efficiency is provided.
A navigation device using weight information related to battery consumption of an electric vehicle, characterized in that the driving path that can be driven with the least battery consumption in consideration of the driving environment.
A first step of searching for a driving route connecting the starting point and the destination;
Calculating a driving efficiency for each of the searched driving paths; And
When the driving efficiency for each of the driving route is calculated, a third step of selecting and displaying the driving route having the best driving efficiency of the;
The second step is a navigation method using the weight information related to the battery consumption of the electric vehicle, characterized in that for calculating the driving efficiency using the weight information related to the battery consumption according to the driving environment.
The method of claim 8, wherein the third step,
A fifth step of comparing the actual driving distance of the selected driving path with the distance that can be driven by the current battery level, and detecting and outputting a method of increasing driving efficiency when the driving distance is shorter than the actual driving distance; Navigation method using the weight information related to the battery consumption of the electric vehicle, characterized in that configured to include.
[12] The method of claim 9,
The method of increasing the running efficiency may include at least one of driving speed reduction, stopping of the electric device, shortening of continuous running time, charging of a battery, reduction of onboard weight, lowering of temperature, or a combination thereof. Navigation method using the weight information related to the battery consumption of the electric vehicle.
The method of claim 10, wherein the third step,
When outputting the method for increasing the driving efficiency, the electric vehicle characterized in that the output including the weight information corresponding to each method, or the additional distance that can be increased when performing each method further outputs Navigation method using the weight information related to the battery consumption of the.
[12] The method of claim 9,
If the driving range is shorter than the actual driving distance of the driving route even if the driving efficiency is increased, the location of the battery charging station located within the driving range is guided, or the driving route having the highest driving efficiency is re-searched through the battery charging station. And a sixth step of displaying, by using the weighting information related to the battery consumption of the electric vehicle.
The method of claim 8, wherein the second step,
Detecting and summing the weight information for each road section of each of the searched driving paths, and calculating the driving efficiency for each corresponding driving path by using the summed weight information, respectively. Navigation method using related weight information.
The method of claim 8, wherein the third step,
Display at least one of the shortest driving route, the shortest driving route, the minimum battery consumption route considering the driving environment of the road, and the driving route combining them, and the driving route selectively selects the highway, highway, national road, and local road. Navigation method using the weight information related to the battery consumption of the electric vehicle, characterized in that included or via the display.

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