Setting method and setting device for vehicle driving mode

Abstract

The present invention relates to a setting method and a setting apparatus for a vehicle driving mode, comprising: a step in which an electronic device performs login on the basis of user information received from a user device; a step in which the electronic device sets an adjustment map on the basis of a signal received from the user device; and a step in which the electronic device remotely sets a traveling mode of the vehicle on the basis of the adjustment map. Accordingly, individual adjustment can be remotely performed on each component of the traveling device according to the driving preference of the driver, the road state and the like, and therefore, adjustment of the traveling device can be performed more easily.

Description

Technical Field

[0001] The invention relates to a method and a device for setting a vehicle driving mode. Background Art

[0002] Vehicle driving devices include brakes, steering, suspension, etc., and usually run as embedded systems in which hardware operates according to software actions. For some components of the driving device, there are driving selection modes that can support two to four modes, such as sports mode, energy-saving mode, and comfort mode. However, for most components, the tuning values ​​are fixed for convenience during development and safety during use, so there is a problem that it is difficult to reflect the requests of each user.

[0003] In order to enhance the convenience of the driver by strengthening the personalization of the driver's vehicle, there is an increasing demand for adjusting the driving or action mode to match the driver's preferences. The adjustable items include the sensitivity of the brakes, the lightness and heaviness of the steering wheel, and the solidity of the suspension.

[0004] However, as described above, even if the driving or action mode is adjusted to match the driver's preference, there is a problem that only the driving selection mode supported by the vehicle's driving device can be selected. Therefore, it is required to reflect the driver's preference within a safe range, and it is necessary to develop technology for performing the adjustment of the driving device in a variety of ways. Summary of the invention

[0005] Problem that the invention aims to solve

[0006] In order to solve the problems in the prior art, an embodiment of the present invention provides a method and a device for setting a vehicle driving mode, which can remotely perform individual adjustments on each component of a driving device according to the driver's driving preference, road conditions, etc.

[0007] In addition, an embodiment of the present invention provides a method and a device for setting a vehicle driving mode, which allow a plurality of drivers to tune each component of a driving device at a new time by sharing tuning maps set by the plurality of drivers.

[0008] In addition, an embodiment of the present invention provides a method and device for setting a vehicle driving mode, which can adjust each component of the driving device separately within a safe range through communication with a specialized engineer when the driver adjusts each component of the driving device separately.

[0009] Means used to solve problems

[0010] According to an embodiment of the present invention, a method for setting a vehicle driving mode includes: a step in which an electronic device performs a login based on user information received from a user device; a step in which the electronic device sets a calibration map based on a signal received from the user device; and a step in which the electronic device remotely sets the vehicle's driving mode based on the calibration map.

[0011] Furthermore, the step of setting the calibration map includes: receiving a selection signal for a calibration component and a calibration range for generating the calibration map from the user device; and setting the calibration map based on the selection signal.

[0012] Furthermore, the method further includes the step of setting the calibration map based on the calibration range received from at least one expert device if the calibration range received from the user device exceeds a critical range.

[0013] Also included is a step of paying a fee to the expert device to set the calibration map based on the calibration range received from the at least one expert device.

[0014] Furthermore, the method further includes receiving at least one tag associated with the set calibration map from the user device, and adding the tag to the calibration map.

[0015] In addition, the step of setting the calibration map includes: a step of confirming the calibration map recommendation condition received from the user device; and a step of confirming the calibration map corresponding to the calibration map recommendation condition among at least one calibration map received and stored from other multiple user devices and at least one calibration map learned and stored through an artificial intelligence algorithm.

[0016] Furthermore, the step of confirming the adjustment chart recommendation condition is a step of confirming at least one tag stored in the user device as the adjustment chart recommendation condition.

[0017] Furthermore, the step of confirming the tuning map recommendation condition is a step of confirming the driving data of the vehicle corresponding to the user device as the tuning map recommendation condition.

[0018] Furthermore, the step of confirming the tuning map recommendation condition is a step of confirming at least one tag stored in the user device and driving data of the vehicle as the tuning map recommendation condition.

[0019] In addition, the stored at least one calibration map includes at least one calibration map received from other plurality of the user devices, feedback information for the calibration map, label information set in the calibration map, and driving data information for the calibration map.

[0020] In addition, a device for setting a vehicle driving mode according to an embodiment of the present invention includes: a communication unit that communicates with a user device and a vehicle device for setting a vehicle driving mode; and a control unit that performs login based on user information received from the user device, and generates a control signal for setting the vehicle driving mode according to a calibration diagram set based on a signal received from the user device, and controls the communication unit to send the control signal to the vehicle device.

[0021] Furthermore, the control unit sets the calibration map based on a selection signal for a calibration component and a calibration range for generating the calibration map received from the user device.

[0022] Furthermore, if the calibration range received from the user device exceeds a critical range, the control unit sets the calibration map based on the calibration range received from at least one expert device.

[0023] Furthermore, the control section pays a fee to the expert device to set the calibration map based on the calibration range received from the at least one expert device.

[0024] Furthermore, the control unit receives at least one tag related to the set calibration map from the user device, and adds the tag to the calibration map.

[0025] In addition, the control unit confirms the recommended condition of the calibration chart received from the user device, and confirms the calibration chart corresponding to the recommended condition of the calibration chart among at least one calibration chart received and stored from other multiple user devices and at least one calibration chart learned and stored through an artificial intelligence algorithm.

[0026] Furthermore, the control unit identifies at least one tag stored in the user device as the adjustment chart recommendation condition.

[0027] Furthermore, the control unit confirms driving data of the vehicle corresponding to the user device as the tuning map recommendation condition.

[0028] Furthermore, the control unit identifies at least one tag stored in the user device and driving data of the vehicle as the tuning map recommendation condition.

[0029] In addition, the stored at least one calibration map includes at least one calibration map received from other plurality of the user devices, feedback information for the calibration map, label information set in the calibration map, and driving data information for the calibration map.

[0030] Effects of the Invention

[0031] As described above, the vehicle driving mode setting method and setting device according to the present invention have the following effects: each component of the driving device can be remotely and individually adjusted according to the driver's driving preference, road conditions, etc., so the adjustment of the driving device can be performed more easily.

[0032] Furthermore, the vehicle driving mode setting method and setting device according to the present invention have the following effect: by sharing the calibration diagrams set by multiple drivers, the drivers can calibrate each component of the driving device at a new time, thereby eliminating the worries about the calibration values.

[0033] In addition, the vehicle driving mode setting method and setting device according to the present invention have the following effects: when the driver adjusts each component of the driving device separately, each component of the driving device can be adjusted separately within a safe range by communicating with a specialized engineer, thereby eliminating the fear of setting an incorrect adjustment value. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 1 is a diagram showing a main configuration of a system for setting a vehicle driving mode according to an embodiment of the present invention.

[0035] Figure 2 FIG. 1 is a diagram showing a main structure of an electronic device for setting a vehicle driving mode according to an embodiment of the present invention.

[0036] Figure 3 It is a sequence diagram for explaining a method for setting a vehicle driving mode according to an embodiment of the present invention.

[0037] Figure 4 It is a detailed sequence diagram for explaining the method of recommending a tuning map according to an embodiment of the present invention.

[0038] Figure 5 This is a detailed sequence diagram for explaining the method of generating a calibration map according to an embodiment of the present invention. DETAILED DESCRIPTION

[0039] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Figure 1The detailed description disclosed below is for illustrating exemplary embodiments of the present invention, and is not intended to be the only embodiment in which the present invention can be implemented. For the purpose of clarity, parts not related to the description may be omitted in the drawings, and the same or similar components will be marked with the same reference numerals throughout the specification.

[0040] Figure 1 1 is a diagram showing a main configuration of a system for setting a vehicle driving mode according to an embodiment of the present invention.

[0041] Reference Figure 1 The system 10 of the present invention may include a user device 100 , an electronic device 200 , and a vehicle device 300 .

[0042] The user device 100 is a device used by a driver driving a vehicle, and may be a portable device such as a smartphone or a tablet computer, or an electronic device such as a computer. The user device 100 executes an application for selecting a calibration map for setting a driving mode of the vehicle, and connects to the electronic device 200 by logging in.

[0043] After the user device 100 is connected to the electronic device 200 through the application, a tag corresponding to the user's driver preference may be sent to the electronic device 200 , and driving data received from the vehicle device 300 may be sent to the electronic device 200 .

[0044] In addition, in order to generate a calibration map, the user device 100 may receive a calibration value for the driving device from the user and send it to the electronic device 200. The user device 100 may confirm various calibration maps uploaded to the electronic device 200 and stored from other user devices, and may send various feedbacks to the calibration maps. The user device 100 may be configured to select any one of the various calibration maps and apply the selected calibration map to the user's vehicle. For example, the user device 100 may set different calibration maps based on commuting time, vehicle weight (passengers, cargo, etc.), road conditions, and road surface conditions.

[0045] The electronic device 200, as a device for providing an application to multiple user devices, may be an electronic device such as a cloud server. In this case, the application may be configured so that the logged-in user can remotely adjust the driving device of the user vehicle that has logged into the application. The application may perform the following community function, where the user device 100 confirms the adjustment map shared by other user devices and can leave feedback.

[0046] In addition, the application recommends a calibration map to the user device 100 based on at least one of the tag selected in the user device 100 and the driving data of the vehicle received from the user device 100. The application can generate a calibration map based on the calibration value received from the user device 100, and can select a calibration map shared in other user devices. The application can perform various functions as follows: when the vehicle logged in to the user device 100 is traveling, the driving data of the vehicle is confirmed, and based on the driving data, an appropriate calibration map is recommended to the user vehicle logged in to the user device 100, thereby remotely calibrating the driving device of the vehicle. Thus, the actions of generating a calibration map, recommending a calibration map, and setting a calibration map are performed by the application, but in the present invention, for the sake of convenience of explanation, an example is given of performing the corresponding actions in the electronic device 200 instead of the application performing the corresponding actions.

[0047] The electronic device 200 can select a calibration map to be applied to the vehicle corresponding to the user device 100 by using an application and communicating with the user device 100, provide the selected calibration map to the vehicle device 300, and remotely perform calibration of the vehicle's driving device, that is, remotely perform calibration of the brake, steering, suspension, etc. The more specific actions of the electronic device 200 will be described below. Figure 2 Provide explanation.

[0048] The vehicle device 300 is installed in the automobile, performs communication with the electronic device 200, and controls the setting of the driving device for the vehicle based on the calibration map received from the electronic device 200. In addition, the vehicle device 300 includes a plurality of sensors (not shown), thereby acquiring driving data for the vehicle in motion, and transmits the driving data to the user device 100.

[0049] The vehicle device 300 can perform adjustments of the vehicle's driving device, that is, perform adjustments of brakes, steering, suspension, etc., through remote control of the electronic device 200 .

[0050] Figure 2 1 is a diagram showing the main structure of an electronic device for setting a vehicle driving mode according to an embodiment of the present invention. The electronic device of the present invention may be a device that communicates with the user device 100 and the vehicle device 300, such as a cloud server, but in the present invention, for ease of explanation, they are collectively referred to as electronic devices.

[0051] Reference Figure 2 The electronic device 200 of the present invention may include a communication unit 210 , a memory 220 , and a control unit 230 .

[0052] The communication unit 210 performs communication with the user device 100 and the vehicle device 300. To this end, the communication unit 210 may perform 5G (5 th generation communication; fifth generation communication), LTE-A (long term evolution-advanced; long term evolution technology), LTE, Wi-Fi (wireless fidelity; wireless fidelity) and other communications.

[0053] The memory 220 stores an action program for causing the electronic device 200 to perform an action. In particular, the memory 220 can store a calibration map generated by the user device 100 and other user devices (not shown). At this time, the memory 220 can receive a label representing the driver's preferences from the user device 100, and map the received label to the calibration map generated by the user device and store them together. In addition, the memory 220 can store basic calibration maps provided by the vehicle manufacturer, such as sports mode, energy-saving mode, comfort mode, etc.

[0054] The memory 220 may store an artificial intelligence algorithm for generating a tuning map based on driving data received from the user device 100 and the driver's preference, and may store the tuning map generated thereby. The memory 220 may store an algorithm for recommending a tuning map suitable for the user device 100 according to a request of the user device 100.

[0055] The control unit 230 performs login based on the user information received from the user device 100, generates a control signal for setting the driving mode of the vehicle according to the calibration map set based on the signal received from the user device 100, and transmits the control signal to the vehicle device 300. To this end, the control unit 230 may include a confirmation unit 231, a generation unit 232, and a recommendation unit 233.

[0056] The confirmation unit 231 receives input of a user name (ID) and a password for login from the user device 100, thereby logging in the user device 100. The confirmation unit 231 confirms the signal received from the user device 100, and provides the signal to either the generation unit 232 or the recommendation unit 233.

[0057] The generator 232 can generate a calibration map using the calibration value received from the user device 100. More specifically, the generator 232 confirms the adjustable range of the calibration component based on the calibration component selection signal received from the user device 100, and displays it on the user device 100. If the generator 232 selects the range of the expert area from the user device 100 within the adjustable range, the generator 232 requests the user device 100 to pay a fee in order to set the calibration value included in the expert area. If the user device 100 pays the fee, the generator 232 recommends an expert device (not shown) associated with the selected calibration component from at least one registered expert device to the user device 100. Thus, the user device 100 can set the calibration component and the calibration value in the expert area through communication with the experts associated with the expert devices, and generate a calibration map.

[0058] If the expert region is not selected in the adjustable range, the generator 232 checks the calibration value for the calibration component selected by the user device 100. The generator 232 generates a calibration map based on the calibration component selected by the user device 100 and the calibration value.

[0059] If the generated calibration map label is received from the user device 100, the generator 232 may add the received label to the calibration map. If the calibration map generation end signal is received from the user device 100, the generator 232 may store the calibration map with the added label in the memory 220.

[0060] The recommendation unit 233 may recommend an appropriate calibration map to the user device 100 according to the input of the user device 100. More specifically, if a tag as a recommendation condition is selected from the user device 100, the recommendation unit 233 confirms the tag stored in the user device 100. At this time, the tag stored in the user device 100 may be a tag directly input to the application when the user joins the membership, or a tag selected by the user device 100 from the theme tags provided by the electronic device 200. For example, the tag may include tags such as comfortable driving, novice driving, high-speed driving, safe driving, active driving, city driving, off-road driving, highway, rainy road, snowy road, sharp turn, family travel, pet, commuting, traffic jam, speed bump, overtime driving, night driving, fuel economy driving, child protection area, elderly protection area, ramp, proxy driving, tailgating, high beam, fast queue cutting, turn signal failure, etc. The recommendation unit 233 may infer the driving preference of the driver based on the tag selected by the user device 100.

[0061] The recommendation unit 233 can confirm (determine) a calibration map with a label identical or similar to a label stored in the user device 100 among the multiple calibration maps stored in the memory 220 as a recommended calibration map, and send a list of the confirmed recommended calibration maps to the user device 100.

[0062] In addition, if the driving data as the recommendation condition is selected from the user device 100, the recommendation unit 233 confirms the driving data of the vehicle stored in the user device 100. To this end, the user device 100 can confirm the driving data of the vehicle during driving by communicating with the vehicle device 300 in real time or periodically. The driving data may include information such as the position of the vehicle during driving, the road state of the vehicle during driving (straight road, curved road, etc.), the road surface state (gravel road, cement road, dirt road, etc.), the driving speed at the position of the vehicle, the steering angle, etc. The recommendation unit 233 can analyze the driving data of the vehicle and confirm the driving preference of the driver. More specifically, the recommendation unit 233 classifies the driving data into indexes such as urban driving, high-speed driving, fuel-efficient driving, comfortable driving, off-road driving, and sports driving by analyzing the driving data, and infers the driving preference of the driver.

[0063] The recommending unit 233 may confirm, as a recommended tuning map, a tuning map related to the driver's driving preference estimated based on the confirmed vehicle driving data among the plurality of tuning maps stored in the memory 220. The recommending unit 233 may send a list of the confirmed recommended tuning maps to the user device 100.

[0064] Furthermore, when a tag and driving data as recommendation conditions are selected from the user device 100, the recommendation unit 233 checks the tag and driving data of the vehicle stored in the user device 100. The control unit 230 can perform cross-analysis on the tag and driving data of the vehicle to estimate the driving preference of the driver.

[0065] The recommending unit 233 may confirm, as a recommended tuning map, a tuning map related to the driver's driving preference estimated based on the confirmed label and driving data among the plurality of tuning maps stored in the memory 220. The recommending unit 233 may send a list of the confirmed recommended tuning maps to the user device 100.

[0066] When receiving an application signal for applying the calibration map to the vehicle from the user device 100, the confirmation unit 231 may confirm whether an application condition of time or environment for applying the calibration map to the vehicle is set. In this case, the application condition may be the commuting time of the vehicle, the weight of the vehicle (passengers, cargo, etc.), weather conditions, road conditions, road surface conditions, etc.

[0067] The confirmation unit 231 may generate a control signal in a manner that enables the calibration map corresponding to the application signal to be applied to the driving device of the vehicle, and transmit the control signal to the vehicle device 300. Thus, when the vehicle is started, the vehicle device 300 may calibrate the driving device of the vehicle according to the calibration map by the control signal received from the confirmation unit 231.

[0068] Furthermore, when the application conditions have been set, if the current time when the vehicle starts, the weight of the vehicle, the weather conditions, etc. converge to the application conditions, the vehicle device 300 can calibrate the vehicle's driving device according to the calibration map. Furthermore, when the application conditions have been set, if the current time when the vehicle is in the driving process, the weight of the vehicle, the weather conditions, the road conditions, the road surface conditions, etc. converge to the application conditions, the vehicle device 300 can calibrate the vehicle's driving device according to the calibration map.

[0069] Figure 3 It is a sequence diagram for explaining a method for setting a vehicle driving mode according to an embodiment of the present invention.

[0070] Reference Figure 3 In step 301, the control unit 230 receives an input of a user name and a password for logging in through an application program provided in the user device 100, thereby logging in the user device 100. When the login of the user device 100 is completed, the control unit 230 may recommend an appropriate calibration map to the user device 100 through the input received from the user device 100. The control unit 230 may generate a calibration map through the calibration value received from the user device 100, and may provide a list of a plurality of calibration maps stored in the memory 220 to the user device 100.

[0071] To this end, in step 303, if a signal for recommending an adjustment map is received from the user device 100, the control unit 230 executes step 305, and if no signal for recommending an adjustment map is received, the control unit 230 executes step 307. In step 307, if a signal for generating an adjustment map is received from the user device 100, the control unit 230 executes step 309, and if no signal for generating an adjustment map is received, the control unit 230 executes step 311. In step 311, the control unit 230 provides the user device 100 with a list of various adjustment maps uploaded in other user devices and stored in the memory 220.

[0072] In step 305, the control unit 230 recommends a calibration map based on the signal received from the user device 100, and executes step 315. The operation of recommending a calibration map will utilize the following Figure 4 Let's explain it in more detail.

[0073] In addition, in step 309, the control unit 230 generates a calibration map based on the signal received from the user device 100, and executes step 315. The operation of generating the calibration map will utilize the following Figure 5 Let's explain it in more detail.

[0074] Furthermore, in step 313 , if a selection signal for at least one calibration map in the calibration map list provided to the user device 100 is received, the control unit 230 executes step 315 , and if no selection signal is received, the corresponding process is terminated.

[0075] Next, in step 315, if an application signal is received for applying any one of the calibration map recommended in step 305, the calibration map generated in step 309, and the calibration map selected in step 313 to the vehicle, the control unit 230 executes step 317. If no application signal is received, the above process ends. In step 315, if an application signal is received, the control unit 230 can confirm whether an application condition such as time or environment for applying the calibration map to the vehicle is set. At this time, the application condition may be the commuting time of the vehicle, the weight of the vehicle (passengers, cargo, etc.), weather conditions, road conditions, road surface conditions, etc.

[0076] In step 317, the control unit 230 may generate a control signal in a manner that enables the calibration map corresponding to the application signal to be applied to the driving device of the vehicle, and transmit the control signal to the vehicle device 300. Thus, when the vehicle starts, the vehicle device 300 may calibrate the driving device of the vehicle according to the calibration map by the control signal received from the control unit 230.

[0077] Furthermore, when the application conditions have been set, if the current time when the vehicle starts, the weight of the vehicle, the weather conditions, etc. converge to the application conditions, the vehicle device 300 can calibrate the vehicle's driving device according to the calibration map. Furthermore, when the application conditions have been set, if the current time when the vehicle is in the driving process, the weight of the vehicle, the weather conditions, the road conditions, the road surface conditions, etc. converge to the application conditions, the vehicle device 300 can calibrate the vehicle's driving device according to the calibration map.

[0078] Figure 4 It is a detailed sequence diagram for explaining the method of recommending a tuning map according to an embodiment of the present invention.

[0079] Reference Figure 4 In step 401, if a tag as a recommendation condition for recommending a calibration map is selected from the user device 100, the control unit 230 executes step 403, and if no tag is selected, executes step 405.

[0080] In step 403, the control unit 230 confirms the tags stored in the user device 100 and executes step 413. At this time, the tags stored in the user device 100 may be directly input when the user logs into the application for the first time, or selected by the user device 100 from the theme tags provided by the electronic device 200. For example, the tags may include tags such as comfortable driving, novice driving, high-speed driving, safe driving, active driving, city driving, off-road driving, highway, rainy road, snowy road, sharp turn, family travel, pet, commuting, traffic jam, speed bump, overtime driving, night driving, fuel economy driving, child protection area, elderly protection area, ramp, proxy driving, tailgating, high beam, fast queue cutting, turn signal failure, etc. The control unit 230 may infer the driver's driving preference based on the tags selected by the user device 100.

[0081] In step 413, the control unit 230 identifies the calibration chart with the same or similar label as the label confirmed in step 403 among the multiple calibration charts stored in the memory 220 as the recommended calibration chart. The control unit 230 may send the list of the confirmed recommended calibration charts to the user device 100. In step 415, if any one of the selection signals in the list is received from the user device 100, the control unit 230 returns to step 416. Figure 3 Step 315.

[0082] In step 405 , if driving data as a recommendation condition for recommending a tuning map is selected from the user device 100 , the control unit 230 executes step 407 , and if no driving data is selected, the control unit 230 executes step 409 .

[0083] In step 407, the control unit 230 confirms the driving data of the vehicle stored in the user device 100. To this end, the user device 100 can confirm the driving data of the vehicle during driving by communicating with the vehicle device 300 in real time or periodically. The driving data may include the position of the vehicle during driving, the road state of the vehicle during driving (straight road, curved road, etc.), the road surface state (gravel road, cement road, dirt road, etc.), the driving speed at the position of the vehicle, the steering angle and other information. The control unit 230 can analyze the driving data of the vehicle to confirm the driving preference of the driver. More specifically, the control unit 230 classifies the driving preference of the driver into indexes such as urban driving, high-speed driving, fuel-efficient driving, comfortable driving, off-road driving and sports driving by analyzing the driving data, and infers the driving preference.

[0084] In step 413, the control unit 230 may confirm the tuning map related to the driver's driving preference estimated based on the driving data confirmed in step 407 among the plurality of tuning maps stored in the memory 220 as a recommended tuning map. The control unit 230 may send a list of the confirmed recommended tuning maps to the user device 100. In step 415, if a selection signal of any one of the lists is received from the user device 100, the control unit 230 returns to the state in which the recommended tuning map is selected. Figure 3 Step 315.

[0085] In step 409, if the user device 100 selects a label and driving data as a recommendation condition for recommending a calibration map, the control unit 230 executes step 411. If the label and driving data are not selected, the control unit 230 returns to step 412. Figure 3 Step 315.

[0086] In step 411, the control unit 230 checks the tag and the vehicle's driving data stored in the user device 100. The control unit 230 may perform cross-analysis on the tag and the vehicle's driving data to estimate the driver's driving preference.

[0087] In step 413, the control unit 230 may confirm the tuning map related to the driver's driving preference estimated based on the tag and driving data confirmed in step 411 among the plurality of tuning maps stored in the memory 220 as a recommended tuning map. The control unit 230 may send a list of the confirmed recommended tuning maps to the user device 100. In step 415, if a selection signal of any one of the lists is received from the user device 100, the control unit 230 returns to step 416. Figure 3 In step 315, if no selection signal is received, the process returns to step 401.

[0088] In addition, in order to recommend a tuning map as in step 413, the memory 220 may store a plurality of tuning maps. More specifically, the tuning maps stored in the memory 220 may include various tuning maps uploaded and shared by other user devices, tuning maps generated by an artificial intelligence algorithm, etc. In addition, the tuning maps stored in the memory 220 may include driving preferences estimated based on feedback information received from other user devices, label information set in the tuning map, and driving data information for the tuning map.

[0089] Figure 5 This is a detailed sequence diagram for explaining the method of generating a calibration map according to an embodiment of the present invention.

[0090] Reference Figure 5In step 501, the control unit 230 executes step 503 according to the selection signal for the adjustment component received from the user device 100, and confirms the adjustable range of the adjustment component and displays it on the user device 100. In step 505, if the range of the expert area is selected from the user device 100 within the adjustable range, the control unit 230 executes step 507, and if the range of the expert area is not selected, the control unit 230 executes step 511. In step 511, the control unit 230 confirms the adjustment value of the adjustment component selected from the user device 100, and executes step 513.

[0091] On the other hand, if the control unit 230 pays a fee from the user device 100 in order to set the adjustment value included in the expert area in step 507, the control unit 230 recommends an expert related to the adjustment component selected in step 501 from among at least one registered expert to the user device 100 in step 509. Thus, the user device 100 selects the adjustment value in the expert area through communication with the expert, and the control unit 230 receives the adjustment value and executes step 513.

[0092] In step 513, the control unit 230 generates a calibration map based on the calibration components and calibration values ​​selected in the user device 100. In step 515, if a label of the generated calibration map is received from the user device 100, the control unit 230 may add the received label to the calibration map.

[0093] In step 517, if the calibration map generation completion signal is received from the user device 100, the control unit 230 executes step 519, and if the calibration map generation completion signal is not received, the control unit 230 returns to step 501 and re-executes steps 501 to 515. In addition, if the user device 100 is in a state of paying a fee to an expert for generating a calibration map in order to calibrate one calibration component, the control unit 230 may omit the step of paying the fee when selecting the calibration values ​​of other calibration components.

[0094] In step 519, the control unit 230 may store the calibration map with the tag added in the memory 220. Thus, the user device 100 and other user devices may connect to the application and confirm the corresponding calibration map, and may apply feedback on the calibration map.

[0095] The embodiments of the present invention disclosed in this specification and the accompanying drawings are for the purpose of easily explaining the technical content of the present invention, and for the specific examples disclosed to facilitate understanding of the present invention, and are not intended to limit the scope of the present invention. Therefore, it should be interpreted that the scope of the present invention, in addition to the embodiments disclosed herein, all changes or deformed forms derived based on the technical ideas of the present invention fall within the scope of the present invention.

Claims

1. A method for setting a vehicle driving mode, characterized in that: include: The electronic device performs a login step based on the user information received from the user device; The electronic device sets a calibration map based on a signal received from the user device; as well as The electronic device remotely sets the driving mode of the vehicle based on the calibration map.

2. The method for setting a vehicle driving mode according to claim 1, characterized in that: The step of setting the calibration map comprises: The step of receiving a selection signal for a calibration component and a calibration range for generating the calibration map from the user device; and The step of setting the calibration map based on the selection signal.

3. The method for setting a vehicle driving mode according to claim 2, characterized in that: Also includes: The step of setting the calibration map based on the calibration range received from at least one expert device if the calibration range received from the user device exceeds a critical range.

4. The method for setting a vehicle driving mode according to claim 3, characterized in that: Also includes: The step of paying a fee to the expert device to set the calibration map based on the calibration range received from the at least one expert device.

5. The method for setting a vehicle driving mode according to claim 3, characterized in that: Also includes: The step of receiving at least one tag associated with the set calibration map from the user device, and adding the tag to the calibration map.

6. The method for setting a vehicle driving mode according to claim 5, characterized in that: The step of setting the calibration map comprises: a step of confirming the recommended condition of the calibration map received from the user device; and The step of confirming the calibration map corresponding to the calibration map recommendation condition from at least one calibration map received and stored from other multiple user devices and at least one calibration map learned and stored by an artificial intelligence algorithm.

7. The method for setting a vehicle driving mode according to claim 6, characterized in that: The step of confirming the adjustment chart recommendation condition is a step of confirming at least one tag stored in the user device as the adjustment chart recommendation condition.

8. The method for setting a vehicle driving mode according to claim 6, characterized in that: The step of confirming the tuning map recommendation condition is a step of confirming the driving data of the vehicle corresponding to the user device as the tuning map recommendation condition.

9. The method for setting a vehicle driving mode according to claim 6, characterized in that: The step of confirming the tuning map recommendation condition is a step of confirming at least one tag stored in the user device and the driving data of the vehicle as the tuning map recommendation condition.

10. The method for setting a vehicle driving mode according to claim 6, characterized in that: The at least one stored calibration map includes at least one calibration map received from other plurality of the user devices, feedback information for the calibration map, label information set on the calibration map, and driving data information for the calibration map.

11. A device for setting a vehicle driving mode, characterized in that: include: a communication unit that communicates with a user device and a vehicle device for setting a driving mode of the vehicle; as well as The control unit performs login based on user information received from the user device, generates a control signal for setting the driving mode of the vehicle according to a calibration map set based on a signal received from the user device, and controls the communication unit to send the control signal to the vehicle device.

12. The vehicle driving mode setting device according to claim 11, characterized in that: The control unit sets the calibration map based on a selection signal for a calibration component and a calibration range for generating the calibration map received from the user device.

13. The vehicle driving mode setting device according to claim 12, characterized in that: If the calibration range received from the user device exceeds a critical range, the control unit sets the calibration map based on the calibration range received from at least one expert device.

14. The vehicle driving mode setting device according to claim 13, characterized in that: The control section pays a fee to the expert device to set the calibration map based on the calibration range received from the at least one expert device.

15. The vehicle driving mode setting device according to claim 13, characterized in that: The control unit receives at least one tag related to the set calibration map from the user device, and adds the tag to the calibration map.

16. The vehicle driving mode setting device according to claim 15, characterized in that: The control unit confirms the calibration chart recommendation condition received from the user device, and confirms the calibration chart corresponding to the calibration chart recommendation condition among at least one calibration chart received and stored from other multiple user devices and at least one calibration chart learned and stored through an artificial intelligence algorithm.

17. The vehicle driving mode setting device according to claim 16, characterized in that: The control unit identifies at least one tag stored in the user device as the adjustment chart recommendation condition.

18. The vehicle driving mode setting device according to claim 16, characterized in that: The control unit confirms driving data of the vehicle corresponding to the user device as the tuning map recommendation condition.

19. The vehicle driving mode setting device according to claim 16, characterized in that: The control unit identifies at least one tag stored in the user device and driving data of a vehicle as the tuning map recommendation condition.

20. The vehicle driving mode setting device according to claim 16, characterized in that: The at least one stored calibration map includes at least one calibration map received from other plurality of the user devices, feedback information for the calibration map, label information set on the calibration map, and driving data information for the calibration map.

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