Path providing device and path providing method based on estimated electric vehicle weight

Abstract

The present invention provides a route providing device and a route providing method for an electric vehicle. The device includes: a processor, estimating a vehicle weight when guiding a route to a destination, calculating a driving load of each route section using the estimated vehicle weight, calculating a driving force using a motor torque, and determining a climbing possibility of each route section using the driving force and the driving load; and a display, controlled by the processor, to display the climbing possibility of each route section according to the driving load and the driving force.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims the benefit of priority from Korean Patent Application No. 10-2019-0167606 filed on December 16, 2019, in the Korean Intellectual Property Office, the entire contents of which are incorporated herein by reference. Technical Field

[0003] The present disclosure relates to a route providing apparatus and a route providing method based on an estimated weight of an electric vehicle, and more particularly, to an optimal route guidance technology according to the weight of a commercial electric vehicle. Background Art

[0004] Unlike ordinary internal combustion engine vehicles, electric vehicles use the energy of batteries to travel. Therefore, the driving distance is determined by the battery performance and capacity. When the driver sits in the vehicle and starts, the accuracy of the remaining fuel distance (DTE) displayed on the instrument cluster is important.

[0005] In the case of internal combustion engine vehicles, because the gas station infrastructure is good, refueling can be done anytime when refueling is needed, and the refueling time is short. However, in the case of electric vehicles, because the gas station infrastructure is still insufficient and the time taken to charge is longer than the time taken to refuel, it is important that the electric vehicle can reach the destination with accurate information.

[0006] Therefore, it is important to analyze accurate battery energy, driving load, the driver's normal driving pattern, etc. and accurately provide the driving distance (DTE) information. Currently, various technologies are used to provide the driving distance (DTE) to the driver.

[0007] However, when cargo is loaded into an electric vehicle, fuel consumption may vary greatly depending on the total weight of the vehicle (vehicle weight + cargo loading weight), and thus may affect the driving distance (DTE).

[0008] In addition, the prior art uses high-precision map information to receive information about the road travel load consumed to the destination and provides an economical driving route (Eco-Route) that can use the least energy. In this case, since the prior art does not consider the slope information of the road and the weight of the vehicle, it is difficult for the prior art to provide an accurate drivable distance (DTE). Summary of the invention

[0009] The present disclosure is made to solve the above-mentioned problems occurring in the prior art while completely maintaining the advantages achieved by the prior art.

[0010] Aspects of the present disclosure provide a route providing apparatus and a route providing method based on estimated electric vehicle weight to predict a climbing possibility of each route section by estimating the weight of a commercial electric vehicle and guide an optimal driving route according to the climbing possibility.

[0011] The technical problems to be solved by the present inventive concept are not limited to the above-mentioned problems, and any other technical problems not mentioned herein will be clearly understood by those skilled in the art to which the present disclosure pertains from the following description.

[0012] According to one aspect of the present disclosure, a path providing device for an electric vehicle may include: a processor, estimating a vehicle weight when guiding a path to a destination, calculating a driving load for each path interval using the estimated vehicle weight, calculating a driving force using a motor torque, and determining a climbing possibility for each path interval using the driving force and the driving load; and a display, controlled by the processor to display the climbing possibility for each path interval based on the driving load and the driving force.

[0013] In an embodiment, when a destination is entered, the processor may generate and direct a recommended route based on road information and the vehicle's current battery information.

[0014] In an embodiment, when the vehicle starts to travel, the processor may estimate the vehicle weight using a travel resistance value when the vehicle coasts down and the acceleration of the vehicle.

[0015] In an embodiment, the processor may extract slope information of the path based on a high-precision map.

[0016] In an embodiment, the processor may determine whether the vehicle can travel to the destination based on road information, battery information, and vehicle weight information.

[0017] In an embodiment, when the destination can be reached, the processor may calculate the driving load of each route segment using the slope information and the estimated vehicle weight.

[0018] In an embodiment, the processor may calculate the motive force for each path segment using the maximum torque, which is the motor torque mapped to the available output of the battery based on a battery output map.

[0019] In an embodiment, the processor may calculate the driving force using the maximum torque, the tire dynamic radius, and the gear ratio.

[0020] In an embodiment, the processor may compare the driving force of each path consisting of at least one section with the travel load to determine the climbing possibility of each path section.

[0021] In an embodiment, when the driving force is greater than the travel load, the processor may determine that the vehicle can climb a slope, and when the driving force is less than or equal to the travel load, the processor may determine that the corresponding section is a path that cannot climb a slope.

[0022] In an embodiment, the display may divide the route to the destination into at least one section for display, and may display at least one of the driving force and the travel load of each section in a numerical value.

[0023] In an embodiment, the display may divide the path to the destination into at least one section for display, and may separately distinguish and display a state of insufficient output, a state of equal output, and a state of sufficient output.

[0024] According to another aspect of the present disclosure, a path providing method for an electric vehicle may include: estimating the vehicle weight when guiding a path to a destination; calculating the driving load of each path interval using the estimated vehicle weight and slope information; calculating the driving force using the motor torque; determining the climbing possibility of each path interval based on the driving load and the driving force; and displaying the climbing possibility of each path interval based on the driving load and the driving force.

[0025] In an embodiment, estimating the vehicle weight may include: when the vehicle starts to travel, estimating the vehicle weight by using a travel resistance value when the vehicle is coasting and an acceleration of the vehicle.

[0026] In an embodiment, the method may further include: when a destination is input, generating and guiding a recommended route based on road information and current battery information of the vehicle; and determining whether the destination can be reached based on the road information, battery information and vehicle weight information.

[0027] In an embodiment, calculating the driving load may include: extracting slope information of the path based on a high-precision map; and when it is possible to travel to the destination, calculating the driving load of each path section using the slope information and the estimated vehicle weight.

[0028] In an embodiment, calculating the driving force may include calculating the driving force of each path section using a maximum torque, the maximum torque being a motor torque mapped to an available output of the battery based on a battery output map.

[0029] In an embodiment, determining the climbing possibility of each path section may include: comparing the driving force of each path consisting of at least one section with the driving load to determine the climbing possibility of each path section.

[0030] In an embodiment, displaying the hill climbing possibility may include: dividing the path to the destination into at least one section for display; and displaying at least one of the driving force and the travel load of each section in a numerical value.

[0031] In an embodiment, displaying the climbing possibility may include: dividing the path to the destination into at least one section for display; and separately displaying a state of insufficient output, a state of equal output, and a state of sufficient output. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The above and other objects, features and advantages of the present disclosure will become more apparent from the following detailed description taken in conjunction with the accompanying drawings:

[0033] Figure 1 is a block diagram showing a configuration of a vehicle system including a path providing apparatus for an electric vehicle according to an embodiment of the present disclosure;

[0034] Figure 2 is a diagram illustrating an example of displaying information on a hill climbing possibility for each section according to an embodiment of the present disclosure;

[0035] Figure 3 is a flowchart showing an optimal path guidance method by estimating weight and predicting climbing possibility according to an embodiment of the present disclosure;

[0036] Figure 4 It shows that according to Figure 3 A flow chart of an optimal path guidance method based on estimated weight and road slope;

[0037] Figure 5 It is shown in detail Figure 3 A flow chart of an optimal path guidance method considering battery output;

[0038] Figure 6 is a diagram showing a guidance sentence indicating that a battery needs to be charged when guiding a route according to an embodiment of the present disclosure;

[0039] Figure 7 is a diagram illustrating an example of displaying information on a hill climbing possibility for each section according to another embodiment of the present disclosure;

[0040] Figure 8 is a diagram illustrating an example of displaying information on a hill climbing possibility for each section according to another embodiment of the present disclosure; and

[0041] Fig. 9 is a block diagram illustrating a computing system according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0042] Hereinafter, some embodiments of the present disclosure will be described in detail with reference to the exemplary drawings. When adding reference numerals to the components of each drawing, it should be noted that the same or equivalent components are represented by the same reference numerals even if they are shown on other drawings. In addition, when describing the embodiments of the present disclosure, detailed descriptions of well-known features or functions will be excluded so as not to unnecessarily make the subject matter of the present disclosure unclear.

[0043] When describing components according to embodiments of the present disclosure, terms such as "first", "second", "A", "B", "(a)", "(b)", etc. may be used. These terms are intended only to distinguish one component from another, and these terms do not limit the nature, order, or sequence of the constituent components. Unless otherwise defined, all terms used herein, including technical terms or scientific terms, have the same meanings as those generally understood by technicians in the field to which the present disclosure belongs. Terms such as those defined in general dictionaries will be interpreted as having the same meanings as the contextual meanings in the relevant technical field, and will not be interpreted as having ideal or overly formal meanings unless expressly defined in this application as having ideal or overly formal meanings.

[0044] In the following, reference will be made to Figures 1 to 9 Embodiments of the present disclosure are described in detail.

[0045] Figure 1 is a block diagram illustrating a configuration of a vehicle system including a path providing apparatus for an electric vehicle according to an embodiment of the present disclosure.

[0046] Reference Figure 1 According to an embodiment of the present disclosure, the path providing device 100 for an electric vehicle can estimate the vehicle weight when guiding the path to the destination, can use the estimated vehicle weight to calculate the driving load of each path section, can use the motor torque based on the battery output map to calculate the driving force, and can judge the climbing possibility of each path section by comparing the driving force with the driving load.

[0047] The path providing device 100 for an electric vehicle may include a communication device 110 , a storage device 120 , a display 130 , and a processor 140 .

[0048] The communication device 110 may be a hardware device implemented using various electronic circuits to send and receive signals through wireless or wired connections. In an embodiment of the present disclosure, the communication device 110 may perform inter-vehicle communication through a controller area network (CAN) communication, a local interconnect network (LIN) communication, Ethernet communication, etc.

[0049] The storage device 120 may store a battery output map that maps the battery available output and the motor torque, and may store the driving force, the travel load, etc. calculated by the processor 140. The storage device 120 may include at least one type of storage medium such as a flash memory type memory, a hard disk type memory, a micro type memory, a card type memory (e.g., a secure digital (SD) card or an extreme digital (XD) card), a random access memory (RAM), a static RAM (SRAM), a read-only memory (ROM), a programmable ROM (PROM), an electrically erasable PROM (EEPROM), a magnetic RAM (MRAM), a magnetic disk, and an optical disk.

[0050] The display 130 may be controlled by the processor 140 to display the climbing possibility according to the travel load and the driving force of each route section.

[0051] The display 130 may divide the route to the destination into at least one section for display, and may display at least one of the driving force and the travel load of each section in a numerical value.

[0052] The display 130 may divide the path to the destination into at least one section for display, and may separately display a state of insufficient output, a state of equal output, and a state of sufficient output.

[0053] The display 130 may include an input device for receiving a control command from a user and an output device for outputting the operating status and results of the output device 100. Here, the input device may include a key, and may further include a mouse, a joystick, a jog-shuttle, a stylus, and the like. In addition, the input device may further include a soft key implemented on the display. The output device may include a display, and may further include a voice output device, such as a speaker. In this case, when a touch sensor such as a touch film, a touch sheet, or a touch pad is provided in the display, the display may be used as a touch screen, and may be implemented in a form in which the input device and the output device are integrated with each other. In an embodiment of the present disclosure, a destination may be input through an input device, and the output device may display each section of the path to the destination or may display in various ways whether there is a possibility of climbing for each path section.

[0054] In this case, the display may include at least one of a liquid crystal display (LCD), a thin film transistor-LCD (TFT-LCD), an organic light emitting diode (OLED) display, a flexible display, a field emission display (FED), and a three-dimensional (3D) display.

[0055] The processor 140 may be electrically connected to the communication device 110, the storage device 120, the display 130, etc., and may electrically control each component. The processor 140 may be a circuit that executes software instructions, and may perform various data processing and calculations described below. The processor 140 may be implemented as a vehicle control unit (VCU).

[0056] When a destination is input, the processor 140 may generate and guide a recommended route based on road information and current battery information of the vehicle. In this case, the road information may be obtained from a high-precision map stored in a navigation device or the like, and may include a driving load value of the corresponding road. The current battery information may include the state of charge (SOC) of the battery, the battery temperature, etc., and may be obtained from a battery management system (BMS).

[0057] When the vehicle starts to travel, the processor 140 may estimate the vehicle weight using the driving resistance value when the vehicle is coasting and the acceleration of the vehicle. In this case, the driving resistance value may be a value obtained when the vehicle is coasting, and refers to the vehicle driving resistance value for driving resistance and aerodynamic force obtained after shifting to the N gear during high-speed travel until the vehicle speed is reduced to 0 kph. The processor 140 may calculate the vehicle weight as in the following equation 1.

[0058] [Equation 1]

[0059]

[0060] In the above equation 1, the weight m can be derived from the value obtained by dividing the force F by the acceleration a. RD represents the reducer efficiency, r tire represents the tire dynamic radius, represents the motor torque, and f 0 , f 1 , f 2 In this case, the driving resistance value f 0 , f 1 , f 2 It is the vehicle driving resistance value obtained when the vehicle is coasting.

[0061] The processor 140 can extract the slope information of the path based on Google Earth or a high-precision map, and can determine whether it can travel to the destination based on the road information, battery information, and vehicle weight information. In other words, when the driver inputs the destination information through the input device, the processor 140 can use the current battery information of the vehicle (e.g., the remaining capacity of the battery), road information (e.g., the corresponding path load of the high-precision map or the distance to the destination) or the current weight (e.g., the current weight estimated as the weight) to determine whether it can travel to the destination. In this case, the processor 140 can obtain the slope information based on information such as longitude, latitude, altitude, or whether there is a tunnel on Google Earth or a high-precision map.

[0062] When the destination can be reached, the processor 140 may calculate the driving load of the vehicle for each path section using the vehicle weight m and the slope information θ. The equation for calculating the driving load may be the following equation 2.

[0063] [Equation 2]

[0064]

[0065] Here, F represents the travel load, ρ represents the friction coefficient, A represents the cross-sectional area, and C drag represents the air resistance coefficient, V represents the vehicle speed, C roll represents the rolling resistance coefficient, m represents the weight, and g represents the acceleration due to gravity.

[0066] The processor 140 can calculate the driving force of each path section using the maximum torque, which is the motor torque mapped to the battery available output based on the battery output map. In other words, the processor 140 can identify the battery available output at the starting SOC from the battery output map stored in the storage device 120, and can obtain the motor torque (maximum torque) mapped to the battery available output.

[0067] [Equation 3]

[0068] Driving force DF = motor torque * gear ratio / dynamic radius

[0069] In the above Equation 3, the processor 140 may calculate the driving force using the maximum torque, the tire dynamic radius, and the gear ratio.

[0070] The processor 140 may compare the driving force of each path consisting of at least one section with the travel load to determine the climbing possibility of each path section.

[0071] When the driving force is greater than the driving load, the processor 140 may determine that the corresponding section is climbable. When the driving force is less than or equal to the driving load, the processor 140 may determine that the corresponding section is a path that cannot climb a slope, and may exclude the path that cannot climb a slope from the driving path to guide the optimal path.

[0072] In addition, the processor 140 may calculate the energy used for each route section, and may display the energy used for each route section on the display 130. In other words, the processor 140 may calculate the actual used battery power kW by multiplying the fuel consumption rate according to the vehicle weight by the remaining driving distance to the destination, and may calculate the starting SOC of the next section by subtracting the used SOC from the starting SOC.

[0073] When the expected energy consumption to the destination is calculated based on the driving load information of the driving road based on the high-precision map and a path with low expected energy consumption is guided, since the difference in the expected energy consumption according to the vehicle weight is large, the embodiment of the present disclosure estimates the vehicle weight and uses road information (for example, road information on the high-precision map), battery information (for example, the amount of SOC provided from the battery management system (BMS), a battery output map according to the battery temperature, etc.) or estimated vehicle weight to determine whether the vehicle can travel to the destination.

[0074] In addition, although the vehicle can travel to the destination, the embodiments of the present disclosure can use slope information and vehicle weight to accurately calculate the current driving load of the vehicle, can use the maximum torque based on the battery output map to calculate the driving force, and can compare the driving force with the driving load to accurately determine the climbing possibility of each path interval.

[0075] Figure 2 is a diagram showing an example of displaying information about the climbing possibility of each section according to an embodiment of the present disclosure. Figure 2 , the embodiment is illustrated as dividing a path from a starting point to a destination into a plurality of sections and displaying the distance, slope, and vehicle speed of each section on the path.

[0076] In this case, current battery information (eg, SOC or / and battery temperature) and an estimated vehicle weight value may be displayed together, and the vehicle weight value and a climbing possibility according to a slope may be displayed for each section.

[0077] A path providing method of an electric vehicle by estimating weight and predicting a climbing possibility according to an embodiment of the present disclosure will be described in detail. Figure 3 is a flowchart illustrating an optimal path guidance method by estimating weight and predicting the possibility of climbing a hill according to an embodiment of the present disclosure. Figure 4 It shows that according to Figure 3Flowchart of an optimal path guidance method based on estimated weight and road slope. Figure 5 It is shown in detail Figure 3 Flow chart of the optimal path guidance method considering battery output.

[0078] In the following, it is assumed that the path providing device 100 of the electric vehicle performs Figures 3 to 5 In addition, Figures 3 to 5 In the description, the operations described as being performed by the device may be understood as being controlled by the processor 140 of the path providing apparatus 100 for the electric vehicle.

[0079] Reference Figure 3 , in S100 , the device may receive a destination from a user to generate a path.

[0080] In S200, the device can guide the recommended path that can be driven to the destination using the current remaining capacity of the battery based on road information (e.g., road information on a high-precision map) and current vehicle information (e.g., current SOC, battery information, etc.). In this case, the device can predict the battery output required for each path interval based on the load of each path interval, can calculate the battery available output for each path using the current vehicle information, and can exclude intervals where the available output is insufficient to provide the required output to guide the optimal path.

[0081] In S300 , the device may check whether the acceleration of the vehicle is greater than a reference value to determine whether the vehicle starts to travel.

[0082] When the acceleration of the vehicle is greater than the reference value, in S400, the device can estimate the vehicle weight m using the acceleration value a of the vehicle and the vehicle driving resistance value based on sliding, and can judge the climbing possibility according to the vehicle weight m and the slope (road slope) to guide the optimal path with climbing possibility. In other words, the device can use the force F (starting torque-driving load) generated when the vehicle is running and the acceleration value a generated when the vehicle is accelerated to apply the formula m=F / a to estimate the total weight m of the vehicle.

[0083] In this case, the device can calculate the torque output when the driver currently depresses the accelerator pedal to travel using the vehicle's starting torque, i.e., the motor torque, the gear ratio, and the driving efficiency information, and can calculate the driving load using the coasting value, which is the vehicle's driving resistance value when the vehicle coasts. In addition, the device can estimate the vehicle weight using the vehicle's acceleration value based on the above equation 1.

[0084] The device may know the current vehicle weight (including the total weight of the vehicle's cargo) and may use the vehicle weight to calculate a recommended route to correct for battery output.

[0085] On the other hand, when the acceleration of the vehicle is less than or equal to the reference value, in S500 , the apparatus may guide a path taking the battery output into consideration using the battery temperature and the battery SOC without estimating the vehicle weight.

[0086] In the following, Figure 4 As shown, the following will be described in detail Figure 3 A method (S400) for guiding a path of a vehicle by estimating weight.

[0087] In S401, after the vehicle starts running, when the vehicle is launched, the apparatus may estimate the vehicle weight m using the acceleration value a and the vehicle running resistance value f.

[0088] In S402 , the device may determine whether the vehicle can travel to the destination based on the vehicle weight, road information (eg, the remaining distance to the destination), and battery information (eg, the remaining capacity of the battery).

[0089] In S403, when the destination can be reached, the device can calculate the travel load of each section of the path using the slope information and the vehicle weight m. In this case, the device can calculate the travel load using the vehicle weight and the slope information using Equation 2 above.

[0090] In S404, the device can calculate the driving force using the estimated vehicle weight m and the maximum torque (motor torque). In this case, the device can identify the maximum torque (motor torque) mapped to the battery available output stored in the battery output map, and can calculate the driving force DF using the maximum torque, gear ratio, and tire dynamic radius as in Equation 3 above.

[0091] In S405 , the device may determine whether the driving force is greater than the running load.

[0092] When the driving force is greater than the travel load, in S406, the device can determine that the vehicle can travel and guide the vehicle to the optimal path among the travelable paths. In other words, when the driving force is greater than the travel load, the device can determine that the corresponding section is a path that can climb a slope.

[0093] On the other hand, when the driving force is less than or equal to the travel load, in S407, the device may determine the corresponding section as a route that cannot climb a slope, and may determine that it cannot be traveled to exclude the corresponding section from the recommended route.

[0094] In S408, if Figure 6 As shown, the device can output the statement "the battery needs to be charged when driving on the corresponding route" or "the output is insufficient". Figure 61 is a diagram showing a guidance sentence indicating that the battery needs to be charged when guiding a route according to an embodiment of the present disclosure. In this case, such a guidance sentence may be output on a combination meter, a navigation device, an audio / video / navigation (AVN) device, or the like.

[0095] In the following, Figure 5 As shown, the following will be described in detail Figure 3 A method (S500) for guiding a path based on battery output using battery temperature and battery SOC.

[0096] In S501 , the device may monitor a battery temperature and a battery SOC of a vehicle after the vehicle starts traveling.

[0097] In S502 , the device may predict the available output of the battery before the vehicle travels on a specific road.

[0098] In S503 , the device may calculate the required output of the battery in each interval and the available output of the battery in each interval.

[0099] In S504 , the device may calculate a total required consumption output by adding the battery required output of each interval.

[0100] In S505 , the device may guide the minimum consumption output path with the minimum total required consumption output (update and change the path).

[0101] Figure 7 is a diagram showing an example of displaying information about the climbing possibility of each section according to another embodiment of the present disclosure. Figure 7 , the driving force and travel load of each section of the route from the starting point to the destination can be displayed. Sections where the driving force is less than the travel load can be displayed as unavailable for travel.

[0102] Figure 8 is a diagram showing an example of displaying information about the climbing possibility of each section according to another embodiment of the present disclosure. Figure 8 , the state of insufficient output, the state of equal output, and the state of sufficient output can be displayed to make the colors of traffic light-type lights different, thereby showing whether each section of the path can be driven.

[0103] In this way, the embodiment of the present disclosure can estimate the vehicle weight, can determine the climbing possibility or whether it can be driven according to the vehicle weight, and can display at least one of the climbing possibility, whether it can be driven, driving force and driving load information of each section of the path on the screen of the device in the vehicle, so that the driver can intuitively recognize the climbing possibility, whether it can be driven, driving force, driving load information, etc. of each section of the path when driving. Therefore, the embodiment of the present disclosure can guide the charging of commercial vehicles to reduce the driving time, and can guide the optimal path according to the vehicle weight, thereby increasing the driver's satisfaction.

[0104] Fig. 9 is a block diagram illustrating a computing system according to an embodiment of the present disclosure.

[0105] Reference Fig. 9 , the computing system 1000 may include at least one processor 1100 , a memory 1300 , a user interface input device 1400 , a user interface output device 1500 , a storage device 1600 , and a network interface 1700 connected to each other via a bus 1200 .

[0106] The processor 1100 may be a central processing unit (CPU) or a semiconductor device that processes instructions stored in the memory 1300 and / or the storage device 1600. The memory 1300 and the storage device 1600 may include various types of volatile or non-volatile storage media. For example, the memory 1300 may include a ROM (Read Only Memory) and a RAM (Random Access Memory).

[0107] Therefore, the operations of the methods or algorithms described in conjunction with the embodiments disclosed herein may be directly implemented as hardware or software modules or a combination of hardware and software modules executed by the processor 1100. The software module may reside on a storage medium (i.e., memory 1300 and / or storage device 1600) such as RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, a hard disk, a removable disk, and a CD-ROM.

[0108] An exemplary storage medium may be coupled to the processor 1100, and the processor 1100 may read information from the storage medium and may record information in the storage medium. Alternatively, the storage medium may be integrated with the processor 1100. The processor 1100 and the storage medium may reside in an application specific integrated circuit (ASIC). The ASIC may reside in a user terminal. In another case, the processor 1100 and the storage medium may reside in a user terminal as separate components.

[0109] This technology can accurately predict the climbing possibility of each route section by estimating the weight of commercial electric vehicles, thereby guiding the optimal driving route.

[0110] The present technology can display the climbing possibility according to the vehicle weight on the screen, so that the user can intuitively recognize the climbing possibility, thereby increasing the convenience of the user.

[0111] In addition, various effects directly or indirectly determined by the present disclosure can be provided.

[0112] Although the present disclosure is described above with reference to exemplary embodiments and the accompanying drawings, the present disclosure is not limited thereto but may be variously modified and changed by those skilled in the art without departing from the spirit and scope of the present disclosure as claimed in the appended claims.

[0113] Therefore, the exemplary embodiments of the present disclosure are provided to explain the purpose and scope of the present disclosure, but not to limit the purpose and scope of the present disclosure, so that the purpose and scope of the present disclosure are not limited by the embodiments. The scope of the present disclosure should be interpreted based on the attached claims, and all technical ideas within the scope equivalent to the claims should be included in the scope of the present disclosure.

Claims

1. A path providing device for an electric vehicle, comprising: a processor that estimates a vehicle weight when guiding a route to a destination, calculates a travel load for each route section using the estimated vehicle weight, calculates a driving force using a motor torque, and determines a climbing possibility for each route section using the driving force and the travel load; as well as a display, controlled by the processor to display the climbing possibility according to the travel load and the driving force for each route section, Wherein, the processor: When the acceleration of the vehicle is greater than a reference value, a recommended route is provided by judging the possibility of climbing a hill using the weight of the vehicle and the road gradient, and When the acceleration of the vehicle is less than or equal to the reference value, the recommended route is provided using current battery information.

2. The device according to claim 1, wherein: When the destination is input, the processor generates and guides the recommended route based on road information and current battery information of the vehicle.

3. The device according to claim 1, wherein: When the vehicle starts to travel, the processor estimates the vehicle weight using a travel resistance value when the vehicle is coasting and an acceleration of the vehicle.

4. The device according to claim 1, wherein: The processor extracts the slope information of the path based on a high-precision map.

5. The device according to claim 4, wherein: The processor determines whether it is possible to travel to the destination based on road information, battery information, and vehicle weight information.

6. The device according to claim 5, wherein: When the destination can be traveled to, the processor calculates the travel load of each route section using the slope information and the estimated vehicle weight.

7. The device according to claim 1, wherein: The processor calculates the driving force for each path segment using a maximum torque that is a motor torque mapped to a battery available output based on a battery output map.

8. The device according to claim 7, wherein: The processor calculates the driving force using the maximum torque, a tire dynamic radius, and a gear ratio.

9. The device according to claim 1, wherein: The processor compares the driving force of each route consisting of at least one section with the travel load to determine a climbing possibility of each route section.

10. The device according to claim 9, wherein: When the driving force is greater than the running load, the processor determines that the vehicle can climb a slope, and when the driving force is less than or equal to the running load, the processor determines that the corresponding section is a path that cannot climb a slope.

11. The device according to claim 1, wherein: The display divides the route to the destination into at least one section and displays at least one of a driving force and a travel load in each section in a numerical value.

12. The device according to claim 1, wherein: The display divides the path to the destination into at least one section for display, and separately displays a state of insufficient output, a state of equal output, and a state of sufficient output.

13. A method for providing a path for an electric vehicle, comprising: When the acceleration of the vehicle is greater than a reference value, a recommended path is provided by judging the possibility of climbing the slope using the vehicle weight and the road slope; as well as When the acceleration of the vehicle is less than or equal to the reference value, using current battery information to provide the recommended route, Among them, providing recommended routes by using vehicle weight and road slope to determine the possibility of climbing includes: estimating the weight of the vehicle while directing a route to a destination; Calculating the driving load of each route section using the estimated vehicle weight and slope information; Calculate the driving force using the motor torque; determining the hill climbing possibility of each route section based on the travel load and the drive force; and The climbing possibility according to the travel load and the driving force is displayed for each route section.

14. The method according to claim 13, wherein: Estimated vehicle weight includes: When the vehicle starts running, the vehicle weight is estimated using a running resistance value when the vehicle is coasting and an acceleration of the vehicle.

15. The method according to claim 13, further comprising: When the destination is input, generating and guiding the recommended route based on road information and current battery information of the vehicle; as well as Whether it is possible to travel to the destination is determined based on road information, battery information, and vehicle weight information.

16. The method according to claim 13, wherein: Calculation of driving load includes: Extracting slope information of the path based on a high-precision map; and When the vehicle can travel to the destination, the travel load of each route section is calculated using the gradient information and the estimated vehicle weight.

17. The method according to claim 13, wherein: Computational drivers include: The driving force for each path section is calculated using the maximum torque, which is the motor torque mapped to the battery available output based on the battery output map.

18. The method according to claim 13, wherein: Determining the climbing possibility of each path section includes: The driving force of each route consisting of at least one section is compared with the travel load to determine the climbing possibility of each route section.

19. The method according to claim 13, wherein: Displays the climbing possibilities including: dividing the path to the destination into at least one section for display; and At least one of the driving force and the travel load in each section is displayed as a numerical value.

20. The method according to claim 13, wherein: Displays the climbing possibilities including: dividing the path to the destination into at least one section for display; and A state showing insufficient output, a state showing equal output, and a state showing sufficient output are distinguished respectively.

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