Patent Application
20240262372
This application claims priority under 35 U.S.C. § 119 to Korean Patent Application No. 10-2023-0015277, filed on Feb. 6, 2023, in the Korean Intellectual Property Office (KIPO), the disclosure of which is incorporated by reference herein in its entirety.
The present disclosure relates to a vehicle automatic control system for a driver's driving tendency and the control method therefor, and particularly, to a vehicle automatic control system for a driver's driving tendency and the control method therefore, which can learn a driver's braking tendency and a driving acceleration tendency, and automatically set and control a braking deceleration or a driving acceleration according to a driver's driving tendency for each mode.
In general, in a system that recognizes the driver's driving tendency and automatically switches the engine and transmission control modes (hereinafter referred to as a driving mode), the driver's driving operation situation such as the acceleration pedal and steering operation is quantified in the form of a sporty index and a predetermined driving mode is designed to operate according to a level of the index.
The driving mode is divided into eco mode, normal mode, and sport mode, and when the sporty index is low (smooth driving), the driving mode ix switched to the eco mode, when the sporty index is average, the driving mode is switched to the normal mode, and when the sporty index is high (extreme driving), the driving mode is switched to the sport mode, and in this way, each driving mode is automatically switched to the corresponding driving mode according to a predetermined index reference.
A pedal effort of a brake pedal of an integrated dynamic brake (IDB) system without a master booster makes a driver to feel a pedal feel, and controls a target pressure generated by a brake pedal travel to form a deceleration of a vehicle.
However, there is a limitation in that there is a difference between a pedal effort provided by automatic control while driving in the system and a pedal effort felt by the driver when braking directly.
The present disclosure has been made in an effort to provide a vehicle automatic control system for a driver's driving tendency and the control method therefor, which can learn a driver's braking tendency and a driving acceleration tendency, and automatically set and control a braking deceleration or a driving acceleration according to a driver's driving tendency for each mode.
However, a technical object to be achieved by the exemplary embodiment of the present disclosure is not limited to the technical objects and there may be other technical objects.
An exemplary embodiment of the present disclosure provides a vehicle automatic control system for a driver's driving tendency, which includes: a driving analysis unit analyzing driver's braking and driving acceleration tendencies of a vehicle; a driver tendency learning unit learning the analyzed driver's braking and driving acceleration tendencies; and a driving control unit controlling braking and driving accelerations of the vehicle by applying a predetermined mode-specific map based on the driver's braking and driving acceleration tendencies learned by the driver tendency learning unit.
Here, in particular, the vehicle automatic control system further includes a storage unit storing driver's braking and driving acceleration tendency information analyzed by the driving analysis unit and driver's braking and driving acceleration tendency information learned by the driver tendency learning unit.
Here, in particular, the driving analysis unit analyzes braking, an acceleration pedal, and a steering angle change rate of the vehicle.
Here, in particular, the predetermined mode-specific map includes a brake map set to a deceleration level corresponding to a brake pedal travel, and an accelerator map set to an acceleration level corresponding to the acceleration pedal and the steering angle change rate.
Another exemplary embodiment of the present disclosure provides a vehicle automatic control method for a driver's driving tendency, which includes: analyzing driver's braking and driving acceleration tendencies of a vehicle; learning the analyzed driver's braking and driving acceleration tendencies; and controlling braking and driving accelerations of the vehicle by applying a predetermined mode-specific map based on the learned driver's braking driving acceleration tendencies.
Here, in particular, the vehicle automatic control method further includes storing the analyzed driver's braking and driving acceleration tendency information and the learned driver's braking and driving acceleration tendency information after the analysis and the learning.
Here, in particular, in the analysis, braking, an acceleration pedal, and a steering angle change rate of the vehicle are analyzed.
Here, in particular, the predetermined mode-specific map includes a brake map set to a deceleration level corresponding to a brake pedal travel, and an accelerator map set to an acceleration level corresponding to the acceleration pedal and the steering angle change rate.
Here, in particular, in the controlling, the braking and driving accelerations of the vehicle are controlled in response to the driver's braking tendency at a deceleration level of a brake map in a predetermined braking mode based on a driver's vehicle braking tendency.
Here, in particular, in the controlling, the braking and driving accelerations of the vehicle are controlled in response to the driver's driving acceleration tendency at an acceleration level of an accelerator map in a predetermined acceleration mode based on a driver's vehicle driving acceleration tendency.
Here, in particular, the acceleration mode includes the normal mode and the sport mode, and controls the braking and driving accelerations by applying the target spin/yaw rate of the accelerator map according to the driver's set mode.
According to any one of a problem solving means of the present disclosure, the driver's braking tendency and the driving acceleration tendency can be learned, and the braking deceleration or driving acceleration can be automatically set and controlled according to the driver's driving tendency for each mode.
An automatic control is provided so as to suit a driver's direct braking and driving acceleration tendency to satisfy braking and driving acceleration actually felt by a driver.
The foregoing summary is illustrative only and is not intended to be in any way limiting. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features will become apparent by reference to the drawings and the following detailed description.
In the following detailed description, reference is made to the accompanying drawing, which forms a part hereof. The illustrative embodiments described in the detailed description, drawing, and claims are not meant to be limiting. Other embodiments may be utilized, and other changes may be made, without departing from the spirit or scope of the subject matter presented here.
Hereinafter, exemplary embodiments of the present disclosure will be described in detail so as to be easily implemented by those skilled in the art, with reference to the accompanying drawings. However, the present disclosure may be modified in various different ways, all without departing from the spirit or scope of the present disclosure. In the drawings, in order to clearly describe the present disclosure, a part not related to the description is not omitted and like reference numerals designate like elements throughout the specification. In addition, while describing by referring to the drawings, even components represented by the same name may have a reference numeral which varies depending on the drawing, and the reference numeral is only described for convenience of explanation, and the concept, feature, function or effect of each component is not limited and interpreted by the reference numeral.
Throughout the specification, when it is described that a part is “connected” with another part, it means that the certain part may be “directly connected” with another part and the elements “electrically connected” to each other with a third element interposed therebetween as well. In addition, when any part “includes” any component, it does not mean excluding other components, unless specifically stated to the contrary, but may further include other components, and it should be appreciated that existence or addition possibilities of one or more other features, numbers, steps, operations, components, parts, or combinations thereof are not excluded in advance.
In this specification, ‘part’ or ‘module’ includes a unit realized by hardware or software, a unit realized using both directions, and one unit may be realized using two or more hardware, or two or more units may be realized by one hardware.
As illustrated in
The driving analysis unit 110 analyzes a driver braking tendency and a driving acceleration tendency of a vehicle. That is, the driving analysis unit synthetically analyzes a driving habit or tendency according to braking, acceleration pedal, and a steering angle change rate of a driver's vehicle.
More specifically, as illustrated in
In this case, as illustrated in
Meanwhile, the predetermined mode-specific map may include a brake map set to a deceleration level corresponding to a brake pedal travel, and an accelerator map set to an acceleration level corresponding to the acceleration pedal and the steering angle change rate.
In this case, a braking pattern may be detected at a corresponding level by analyzing the driver's braking tendency in response to the set brake map.
As illustrated in
That is, the depth degree (pressurization), target spin/yaw rate of stepping the acceleration pedal may vary depending on the driver's driving acceleration tendency.
For example, when the driver feels frustrated driving in the normal mode and prefers to drive in the sport driving mode, the driver's driving acceleration tendency may be analyzed based on at least one of pressurization information of the acceleration pedal and steering angle information corresponding to manipulation of a steering wheel.
Even when the driver prefers the driving acceleration tendency in the normal mode, the driver's driving acceleration tendency may be analyzed based on at least one of the pressurization information of the acceleration pedal and the steering angle information corresponding to the manipulation of the steering wheel.
That is, the acceleration pedal according to the pressure of the pressurization of stepping the brake pedal of the driver and the accelerator map set to the acceleration level corresponding to the steering angle change rate may be set for each level (not illustrated).
In this case, the driver's driving acceleration tendency may be analyzed and detected at a corresponding level in response to the set accelerator map.
The driver tendency learning unit 120 learns the driver's braking and driving acceleration tendency analyzed by the driving analysis unit 110.
More specifically, the driving analysis unit 110 analyzes the driver braking tendency in response to the set brake map and analyzes the driver's driving acceleration tendency in response to data of detecting the braking pattern at the corresponding level and the set accelerator map to learn the driver's driving deceleration tendency and acceleration tendency through a learning algorithm based on the data detected at the corresponding level.
For example, the tendency of pressurizing the brake pedal for deceleration by the driver and the driver's driving acceleration tendency corresponding the sport mode or normal mode may be learned.
In this case, even though various drivers commonly use one vehicle, each of the deceleration tendency and the acceleration tendency of each driver may be learned. Further, the driving tendency information for each driver may be calculated and updated through the learning algorithm.
The driving control unit 130 controls braking and driving accelerations of the vehicle by applying a predetermined mode-specific map based on the driver's braking and driving acceleration tendency learned by the driver tendency learning unit 120.
More specifically, the driving acceleration/deceleration tendency of the driver may be matched and controlled by applying the brake map set to the deceleration level corresponding to the predetermined brake pedal travel and the accelerator map set to the acceleration level corresponding to the acceleration pedal and the steering angle change rate based on the driver's braking and driving acceleration tendencies learned by the driver tendency learning unit 120.
For example, if the driver of the vehicle corresponds to the learned driver, the driver driving acceleration/deceleration tendency may be automatically set and controlled as the pressurization information of the brake pedal corresponding thereto, the pressurization information of the acceleration pedal, and information corresponding to the manipulation of the steering wheel. That is, the automatic control is performed according to the driving acceleration/deceleration tendency suitable for the driver.
The storage unit 140 stores the driver's braking and driving acceleration tendency information analyzed by the driving analysis unit 110 and the driver's braking and driving acceleration tendency information learned by the driver tendency learning unit 120.
More specifically, the storage unit 140 analyzes the driver's braking tendency in response to the set brake map by the driving analysis unit 110, and analyzes the driver's driving acceleration tendency in response to the data of detecting the braking pattern at the corresponding level and the set accelerator map to store the data detected at the corresponding level.
The driver braking tendency is analyzed and the driver's driving acceleration tendency is analyzed in response to the data of detecting the braking pattern at the corresponding level and the set accelerator map to store data acquired by learning the driver's driving deceleration tendency and acceleration tendency through the learning algorithm based on the data detected at the corresponding level. In this case, it is preferable to analyze the driving tendency of each of various drivers and store the learning data in one vehicle.
As illustrated in
The driver's braking tendency and the driving acceleration tendency of the vehicle are analyzed. That is, the driving analysis unit synthetically analyzes a driving habit or tendency according to braking, acceleration pedal, and a steering angle change rate of a driver's vehicle.
More specifically, the braking pattern through the brake pedal of the driver is detected in order to analyze the driver's braking tendency. Here, the driver braking pattern means a vehicle deceleration generation pattern through measurement of a degree of stepping the brake pedal upon braking, and an average value is calculated by measuring the driver braking pattern several times to determine the driver's braking tendency.
In this case, the brake map according to the braking target pressure of pressurization of stepping the brake pedal is set for each level. Here, the braking target pressure may be set according to a depth degree (pressurization) of stepping the brake pedal, and a low speed, a medium speed, and a high speed of the vehicle.
Meanwhile, the predetermined mode-specific map may include a brake map set to a deceleration level corresponding to a brake pedal travel, and an accelerator map set to an acceleration level corresponding to the acceleration pedal and the steering angle change rate.
In this case, a braking pattern may be detected at a corresponding level by analyzing the driver's braking tendency in response to the set brake map.
The driving tendency through the acceleration pedal of the driver is detected in order to analyze the driver's driving acceleration tendency.
That is, the depth degree (pressurization), target spin/yaw rate of stepping the acceleration pedal may vary depending on the driver's driving acceleration tendency.
For example, when the driver feels frustrated driving in the normal mode and prefers to drive in the sport driving mode, the driver's driving acceleration tendency may be analyzed based on at least one of pressurization information of the acceleration pedal and steering angle information corresponding to manipulation of a steering wheel.
Even when the driver prefers the driving acceleration tendency in the normal mode, the driver's driving acceleration tendency may be analyzed based on at least one of the pressurization information of the acceleration pedal and the steering angle information corresponding to the manipulation of the steering wheel.
That is, the acceleration pedal according to the pressure of the pressurization of stepping the brake pedal of the driver and the accelerator map set to the acceleration level corresponding to the steering angle change rate may be set for each level (not illustrated).
In this case, the driver's driving acceleration tendency may be analyzed and detected at a corresponding level in response to the set accelerator map.
A step of learning the analyzed driver's braking and driving acceleration tendency is performed (S520).
More specifically, the driver braking tendency is analyzed in response to the set brake map and the driver's driving acceleration tendency is analyzed in response to data of detecting the braking pattern at the corresponding level and the set accelerator map to learn the driver's driving deceleration tendency and acceleration tendency through a learning algorithm based on the data detected at the corresponding level.
For example, the tendency of pressurizing the brake pedal for deceleration by the driver and the driver's driving acceleration tendency corresponding the sport mode or normal mode may be learned.
In this case, even though various drivers commonly use one vehicle, each of the deceleration tendency and the acceleration tendency of each driver may be learned. Further, the driving tendency information for each driver may be calculated and updated through the learning algorithm.
Subsequently, after the analysis step and the learning step, a step of storing the analyzed driver's braking and driving acceleration tendency information and the learned driver's braking and driving acceleration tendency information is performed (S530).
More specifically, the driver's braking tendency is analyzed in response to the set brake map, and the driver's driving acceleration tendency is analyzed in response to the data of detecting the braking pattern at the corresponding level and the set accelerator map to store the data detected at the corresponding level.
The driver braking tendency is analyzed and the driver's driving acceleration tendency is analyzed in response to the data of detecting the braking pattern at the corresponding level and the set accelerator map to store data acquired by learning the driver's driving deceleration tendency and acceleration tendency through the learning algorithm based on the data detected at the corresponding level. In this case, it is preferable to analyze the driving tendency of each of various drivers and store the learning data in one vehicle.
Next, a step of controlling braking and driving accelerations of the vehicle by applying a predetermined mode-specific map based on the learned driver's braking and driving acceleration tendencies is performed (S540).
The driving acceleration/deceleration tendency of the driver may be matched and controlled by applying the brake map set to the deceleration level corresponding to the predetermined brake pedal travel and the accelerator map set to the acceleration level corresponding to the acceleration pedal and the steering angle change rate based on the driver's braking and driving acceleration tendencies learned by the driver tendency learning unit 120.
That is, in the controlling step, the braking and acceleration tendency is controlled in response to the driver's braking tendency at the deceleration level of the brake map in the predetermined braking mode based on the driver's vehicle braking tendency, and controlled in response to the driver's driving acceleration tendency at the acceleration level of the accelerator map in the predetermined acceleration mode based on the driver's vehicle driving acceleration tendency. Here, the acceleration mode includes the normal mode and the sport mode, and may control the braking and driving acceleration by applying the target spin/yaw rate of the accelerator map according to the driver's set mode.
For example, if the driver of the vehicle corresponds to the learned driver, the driver driving acceleration/deceleration tendency may be automatically set and controlled as the pressurization information of the brake pedal corresponding thereto, the pressurization information of the acceleration pedal, and information corresponding to the manipulation of the steering wheel. That is, the automatic control is performed according to the driving acceleration/deceleration tendency suitable for the driver.
The aforementioned description of the present disclosure is used for exemplification, and it can be understood by those skilled in the art that the present disclosure can be easily modified in other detailed forms without changing the technical spirit or requisite features of the present disclosure. Therefore, it should be appreciated that the aforementioned embodiments are illustrative in all aspects and are not restricted. For example, respective constituent elements described as single types can be distributed and implemented, and similarly, constituent elements described to be distributed can also be implemented in a coupled form.
The scope of the present disclosure is represented by claims to be described below rather than the detailed description, and it is to be interpreted that the meaning and scope of the claims and all the changes or modified forms derived from the equivalents thereof come within the scope of the present disclosure.
From the foregoing, it will be appreciated that various embodiments of the present disclosure have been described herein for purposes of illustration, and that various modifications may be made without departing from the scope and spirit of the present disclosure. Accordingly, the various embodiments disclosed herein are not intended to be limiting, with the true scope and spirit being indicated by the following claims.
| Number | Date | Country | Kind |
|---|---|---|---|
| 10-2023-0015277 | Feb 2023 | KR | national |
