WO2021208940A1 - 车辆减速控制方法和装置、存储介质及车辆 - Google Patents
车辆减速控制方法和装置、存储介质及车辆 Download PDFInfo
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- WO2021208940A1 WO2021208940A1 PCT/CN2021/087138 CN2021087138W WO2021208940A1 WO 2021208940 A1 WO2021208940 A1 WO 2021208940A1 CN 2021087138 W CN2021087138 W CN 2021087138W WO 2021208940 A1 WO2021208940 A1 WO 2021208940A1
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Definitions
- the embodiments of the present application relate to the field of vehicle technology, for example, to a vehicle deceleration control method and device, a storage medium, and a vehicle.
- the deceleration process of a vehicle includes coasting deceleration and braking deceleration.
- coasting deceleration means that when the driver releases the accelerator pedal of the vehicle, the vehicle decelerates through the braking energy recovery of the motor.
- the coasting deceleration is initially used to simulate the reverse drag torque of the traditional engine and recover part of the kinetic energy. , And later to achieve recovery and storage of more kinetic energy.
- the vehicle will provide different energy recovery intensity in different driving modes. For example, in the normal mode, the energy recovery intensity is smaller, and in the economic mode, the energy recovery intensity is larger.
- braking deceleration means that after the driver steps on the brake pedal, the vehicle decelerates according to the driver's braking demand.
- the braking system of a vehicle includes a decoupling braking system and a non-decoupling braking system.
- a decoupling braking system after the driver steps on the brake pedal, when the vehicle deceleration is below a certain deceleration, The braking of the vehicle is energy recovery braking.
- the hydraulic brake will participate in the braking of the vehicle; for the non-decoupling braking system, after the driver depresses the brake pedal ,
- the vehicle brake has both hydraulic braking and energy recovery braking. As the brake pedal is stepped on more, hydraulic braking and energy recovery braking will gradually increase the corresponding braking force.
- the vehicle provides different energy recovery intensities under different driving modes, corresponding to different deceleration intensities, but due to the varying working conditions of the actual road, a single energy recovery intensity cannot satisfy the driver in all driving modes.
- the demand for deceleration under working conditions In some working conditions, the driver will hope that there is no coasting to decelerate, so that the farther the car slides, the better.
- the driver needs to step on again
- the accelerator pedal is used to meet the target deceleration demand; in some working conditions, the driver hopes that the vehicle can have a certain deceleration effect, but the deceleration may not meet the actual deceleration demand.
- the driver needs to step on the brake pedal to meet the actual deceleration demand. Reduce demand. Frequent release of the accelerator pedal and then depressing the brake pedal can also cause fatigue to the driver.
- the driver For a non-decoupling brake system, the driver only needs to depress the brake pedal, and energy will be lost through friction; for a decoupled brake system, the driver may be in some working conditions that do not need to step on the brake pedal quickly Depress the brake pedal abruptly, which also causes the hydraulic brake to participate in the braking of the vehicle and cause energy loss. If it is changed to automatic deceleration, the energy lost in the non-decoupling braking system and the energy lost in the decoupling system Can be recycled to the maximum.
- the embodiments of the present application provide a vehicle deceleration control method, device, storage medium, and vehicle, which can optimize a vehicle deceleration control scheme.
- the embodiment of the present application provides a vehicle deceleration control method, including: acquiring environmental information around the vehicle; determining the operating condition category of the current operating condition of the current vehicle according to the environmental information; After the accelerator pedal of the vehicle, the vehicle is automatically decelerated according to the operating condition category of the current operating condition and the driving habit information of the driver.
- the embodiment of the present application provides a vehicle deceleration control device, including: an environmental information acquisition module configured to acquire environmental information around the vehicle; a current operating condition determination module configured to determine the current vehicle location based on the environmental information The working condition category of the working condition; the automatic deceleration control module is set to perform the operation on the vehicle according to the current working condition category and the driver’s driving habit information after detecting that the driver releases the accelerator pedal of the vehicle Automatic deceleration control.
- the embodiment of the present application provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the vehicle deceleration control method as provided in the embodiment of the present application is implemented.
- the embodiment of the present application provides a vehicle including a memory, a processor, and a computer program stored in the memory and capable of running on the processor.
- the processor executes the computer program to implement the vehicle as provided in the embodiment of the present application. Deceleration control method.
- FIG. 1 is a schematic flowchart of a vehicle deceleration control method provided by an embodiment of the application
- FIG. 2 is a structural block diagram of a vehicle deceleration control system provided by an embodiment of the application.
- FIG. 3 is a schematic diagram of a calculation process of a target deceleration provided by an embodiment of the application
- FIG. 4 is a schematic diagram of a flow chart of performing automatic deceleration control according to a target deceleration according to an embodiment of the application;
- FIG. 5 is a structural block diagram of a vehicle deceleration control device provided by an embodiment of the application.
- Fig. 6 is a structural block diagram of a vehicle provided by an embodiment of the application.
- Some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowchart describes multiple steps as sequential processing, many steps can be implemented in parallel, concurrently, or simultaneously. The order of multiple steps can be rearranged. The processing may be terminated when the operations of multiple steps are completed, but the processing may also have additional steps not included in the drawings. The processing may correspond to methods, functions, procedures, subroutines, subroutines, and so on.
- FIG. 1 is a schematic flowchart of a vehicle deceleration control method provided by an embodiment of the application.
- the method can be executed by a vehicle deceleration control device, which can be implemented by software and/or hardware.
- the device can generally be integrated in a vehicle. It may be an electric vehicle, and the electric vehicle may include, for example, a new energy vehicle such as a pure electric vehicle model and a hybrid vehicle model.
- the method includes the following steps.
- Step 101 Acquire environmental information around the current vehicle.
- the current vehicle can be understood as the vehicle.
- the corresponding range around the current vehicle can be set according to the actual situation, and the actual situation may include, for example, the detection range requirement and the detection capability of the vehicle (such as the detection range of the vehicle's sensor) and so on.
- the acquisition of environmental information can be executed in real time or triggered at a preset frequency.
- the environmental information may include vehicle location information, obstacle information, road traffic information, and the like.
- the location information of the vehicle may include, for example, the area where the vehicle is located, the level of the current road where the vehicle is located (such as expressways, urban expressways, and general roads in urban areas, etc.), whether the vehicle is on an uphill, downhill, or curved road section, and whether the vehicle is Driving in the turning lane line, as well as the distance between the vehicle and the road reference points (such as turning, intersection, stop line, and traffic lights), etc.
- the position information of the vehicle can also include the state of the intersection ahead (such as roundabout, cross road) Intersections and forks, etc.); obstacle information can include, for example, the type of obstacle (such as roadblocks or debris and other stationary objects, pedestrians, animals, and other moving vehicles, etc.), the distance between the obstacle and the current vehicle, and the obstacle The movement information of the object (such as the direction of travel and speed, etc.) and so on.
- state of the intersection ahead such as roundabout, cross road
- obstacle information can include, for example, the type of obstacle (such as roadblocks or debris and other stationary objects, pedestrians, animals, and other moving vehicles, etc.), the distance between the obstacle and the current vehicle, and the obstacle
- the movement information of the object such as the direction of travel and speed, etc.
- the obstacle information may include, for example, the longitudinal distance, the lateral distance, the longitudinal relative speed and the lateral relative speed between the front obstacle and the vehicle (ie the current vehicle), the distance of the vehicle from the ground parking line, etc.;
- Road traffic information may include, for example, traffic signal information (such as traffic light status and duration information), road congestion, and road construction information, and may also include road curvature information, slope information, and speed limit information on the road ahead.
- Step 102 Determine the operating condition category of the current operating condition in which the current vehicle is located according to the environmental information.
- the working conditions can be classified according to actual needs, such as obstacle deceleration conditions, curve deceleration conditions, speed limit deceleration conditions, intersection deceleration conditions, and slope deceleration conditions.
- the common working condition is the obstacle-like working condition, which cannot be adapted to the scene of the changeable working condition. This leads to the solidification of the deceleration control scheme, poor flexibility, and low deceleration control effect. Can not meet user needs.
- the division of operating conditions can effectively identify the current operating conditions based on the current environmental information, which is beneficial to subsequent targeted deceleration control.
- a working condition recognition model can be established in advance, the acquired environmental information is input into the working condition recognition model, and the working condition category of the current working condition and the working condition of the current working condition can be determined according to the output result of the working condition recognition model
- the number of categories is not limited, and can be one or multiple (that is, the current vehicle is in multiple operating conditions at the same time).
- the working condition category of the current working condition includes at least one of the following: obstacle deceleration condition, curve deceleration condition, speed limit deceleration condition, intersection deceleration condition, and slope deceleration condition.
- multiple working condition recognition units or working condition recognition systems can be separately set up according to multiple working condition categories, for example, obstacle deceleration condition recognition units and curve deceleration condition recognition units can be set separately , Speed limit deceleration condition recognition unit, intersection deceleration condition recognition unit and slope deceleration condition recognition unit.
- Each working condition recognition unit can correspond to an independent working condition recognition model, for example, the obstacle deceleration condition recognition unit corresponds to the obstacle deceleration condition recognition model.
- the above-mentioned working condition recognition model may be a neural network model, and the working condition recognition model can improve the accuracy of working condition recognition.
- the switch can be set independently, and the state of the switch can be set automatically by the vehicle according to the actual situation, or the state of the switch can be set by the driver according to his own needs.
- determining the working condition category of the current working condition of the current vehicle according to the environmental information includes: detecting the working state of a plurality of working condition recognition units; identifying each working condition unit in a normal working state , Extract the information to be identified corresponding to the current working condition identification unit from the environmental information, and input the to-be-identified information into the current working condition identification unit; according to the output of all the working condition identification units in a normal working state
- the operating condition category of the current operating condition in which the current vehicle is located is determined.
- the advantage of this setting is that parallel recognition can be performed for different working condition categories, which improves the recognition efficiency and thereby ensures the timeliness of the deceleration control.
- the working state of each working condition identification unit may include a switch state, and may also include a communication state.
- the communication state may include whether the communication function is normal and whether the communication information is valid.
- Step 103 After detecting that the driver releases the accelerator pedal, perform automatic deceleration control on the current vehicle according to the working condition category of the current working condition and the driving habit information of the driver.
- information such as the opening and closing degree of the accelerator pedal (also known as the accelerator pedal) can be obtained to determine whether it is detected that the driver has released the accelerator pedal.
- targeted deceleration control strategies may be set in advance for different working condition categories, and the deceleration control strategy may include, for example, a deceleration calculation method.
- the driving habit information of the driver may include the driving habit information of the driver for the current working condition, and may also include all the driving habit information of the driver in the historical driving process, etc.
- the content of the driving habit information can be set according to the actual situation. , The embodiment of this application does not limit it.
- an automatic deceleration control method suitable for the current vehicle can be determined by comprehensively considering the working condition category of the current working condition and the driver's driving habits information, and then the vehicle is braked and controlled, so that the automatic deceleration process can meet the current working condition.
- the needs of the driver can meet the driver's own needs, avoiding the driver's frequent self-manipulation due to the current deceleration process that does not meet their own needs, such as frequent release of the accelerator pedal and then depressing the brake pedal.
- the relevant components of the vehicle can be controlled to cooperate with deceleration to achieve automatic deceleration.
- the deceleration control method and control process are not limited in the embodiment of the present application.
- the driver’s driving habit information can be obtained by the server according to the information reported by the vehicle on the driver’s operation on the vehicle by collecting, summarizing and model calculations and other related processing, and sending the driver’s driving habit information to the current vehicle.
- the method may include: during the deceleration of the current vehicle under different working condition categories, collecting the driver's manipulation information, and reporting the manipulation information to the server, and the manipulation information is used to indicate the The server determines the driving habit information of the driver according to the manipulation information; and receives the driving habit information of the driver issued by the server.
- the manipulation information may include information such as accelerator pedal information, brake pedal information, turn signal information, vehicle speed, and vehicle acceleration and deceleration.
- the back-end server can comprehensively provide the driving style suitable for the driver of the vehicle under different working conditions according to the driving style of the driver of the vehicle (that is, driving habits information) and the driving style of most drivers obtained by big data, such as different curves
- driving style of the driver of the vehicle that is, driving habits information
- driving style of most drivers obtained by big data such as different curves
- the speed of the driver s turning, the maximum acceleration that the driver can accept on different slopes (downhills) and at different speeds, and the following distance at different speeds.
- the automatic deceleration control can be carried out according to the driving habit information of most drivers obtained by big data.
- the automatic deceleration control in the embodiments of the present application may include automatic parking.
- a working condition such as an obstacle deceleration condition or an intersection deceleration condition
- the parking sign can be set separately for the situation where parking is needed, and the position value of the parking sign can be set according to different parking needs.
- the parking sign when the vehicle speed is lower than the first speed threshold, and the relative distance between the vehicle and the obstacle or the relative distance between the vehicle and the red light is lower than the first distance threshold, the parking sign is set to 1, which can be understood as a slow stop ;
- the stop flag is set to 2, which can be understood as an emergency stop.
- the second distance threshold is less than the first distance threshold.
- the vehicle deceleration control method obtaineds information about the environment around the current vehicle, and determines the operating condition category of the current operating condition of the current vehicle according to the environmental information. After detecting that the driver has released the accelerator pedal, The working condition category of the working condition and the driver's driving habit information carry out automatic deceleration control on the current vehicle.
- the classification of the working conditions can be automatically identified according to the surrounding environment of the vehicle, and then when the driver releases the accelerator pedal, the working condition of the current working condition can be combined with the driver’s personal driving habits.
- performing automatic deceleration control on the current vehicle according to the operating condition category of the current operating condition and the driving habit information of the driver includes: determining the operating condition category of the current operating condition The deceleration calculation method corresponding to the operating condition category of the current operating condition, and the estimated deceleration is calculated according to the deceleration calculation method; the estimated deceleration is corrected according to the driving habit information of the driver to obtain the target Deceleration; automatic deceleration control of the current vehicle according to the target deceleration.
- the advantage of this setting is that the estimated deceleration can be quickly calculated according to the working condition category, and then the estimated deceleration can be corrected according to the driving habit information, which speeds up the calculation process of the target deceleration as a whole, improves the calculation efficiency, and then improves The response speed of automatic deceleration control.
- the estimated deceleration and/or target deceleration can be a fixed deceleration value or a dynamically changing deceleration value, that is, it can reflect the change process of the deceleration value during the deceleration process.
- the estimated deceleration may be a fixed deceleration value
- the target deceleration may be a fixed deceleration value or a dynamically changing deceleration value modified on the basis of the estimated deceleration after referring to the driving habit information.
- Speed value is a fixed deceleration value or a dynamically changing deceleration value, that is, it can reflect the change process of the deceleration value during the deceleration process.
- the estimated deceleration may be a fixed deceleration value
- the target deceleration may be a fixed deceleration value or a dynamically changing deceleration value modified on the basis of the estimated deceleration after referring to the driving habit information.
- Speed value is a fixed deceler
- the driver’s driving habit information may also be referred to, that is, the driver’s driving habit information may be used in the deceleration calculation method, such as following the car at different vehicle speeds. Distance and so on.
- the reference driver’s driving habit information can include: the driver’s habit of decelerating first and then slower, or the driver’s habit of slowing, then fast and then slow, etc., that is, deceleration The trend of change.
- other driving habit information can also be referred to, which is not limited in the embodiment of the present application.
- the correcting the estimated deceleration according to the driving habit information of the driver to obtain the target deceleration includes : Correcting the estimated deceleration according to the driving habit information of the driver to obtain multiple corrected estimated decelerations; determining the maximum value of the multiple corrected estimated decelerations as the target deceleration.
- the correcting the estimated deceleration according to the driving habit information of the driver to obtain the target deceleration includes : Determine the maximum value of the multiple estimated decelerations as the target estimated deceleration; correct the target estimated deceleration according to the driving habit information of the driver to obtain the target deceleration.
- the advantage of this setting is that it takes into account the common deceleration requirements under a variety of working conditions and the driver’s driving habits. First, the target estimated deceleration is screened, and then the target estimated deceleration is corrected, which can improve the calculation efficiency of the target deceleration. . When a negative number is used to represent the estimated deceleration, when determining the target estimated deceleration, it is equivalent to taking the minimum of multiple estimated decelerations.
- the method further includes: receiving the driving And adjust the automatic deceleration control according to the control instruction of the operator.
- FIG. 2 is a structural block diagram of a vehicle deceleration control system provided by an embodiment of the application.
- the system can use the vehicle deceleration control method provided by the embodiment of the application to perform automatic deceleration control.
- the system mainly includes: intelligent deceleration environment perception and user information acquisition parts (big data information terminal 208, obstacle detection system 209, road network information system 210 and infotainment and display system 211); intelligent deceleration mainly Logic control part (Vehicle Control Unit (VCU) 201); intelligent deceleration execution part (deceleration controller 202, Battery Management System (BMS) 203, Micro Controller Unit (MCU) 204, hydraulic brake actuator 205, power battery 206 and power motor 207).
- the driver 212 can interact with the vehicle deceleration control system through the infotainment and display system 211 and related control components of the vehicle.
- the big data information terminal 208 uploads the vehicle and road condition information to the background server in real time.
- the vehicle information mainly includes accelerator pedal information, brake pedal information, turn signal information, vehicle speed and vehicle acceleration and deceleration.
- the road condition information mainly includes road curvature information, Information on slopes, obstacles in front of the vehicle, distance from the vehicle to the intersection, and traffic lights.
- the background server comprehensively gives the driving style suitable for the driver of the vehicle under different working conditions, such as the turning speed of the driver in different corners, and different slopes. The maximum acceleration that the driver can accept on the road (downhill) and at different speeds, the following distance at different speeds, etc.
- the background server also transmits the driving habit information to the vehicle control unit 201 through the sending and receiving terminal of the driving habit information.
- the obstacle detection system 209 is mainly used to identify front obstacles.
- the identification information mainly includes the longitudinal distance between the front obstacle and the vehicle, the lateral distance, the longitudinal relative speed and the lateral relative speed, and the distance of the vehicle from the ground parking line. Wait.
- the system should be able to detect long-distance obstacles.
- the system can be composed of detection sensors such as radar and camera.
- the road network information system 210 can report the current position of the vehicle and road traffic information to the vehicle control unit 201 in real time.
- the reported information mainly includes the current road level (such as expressways, urban expressways, urban general roads, etc.), the distance of the vehicle from the intersection ahead, the state of the intersection ahead (such as roundabouts, crossroads, forks, etc.), and intersections
- the infotainment and display system 211 is mainly used for the driver 212 to select the driving mode and to switch the intelligent deceleration control function.
- the vehicle itself has a variety of driving modes, such as comfort mode, economy mode, sports mode, etc. In different modes, the driver can choose whether to turn on the intelligent deceleration control function.
- the intelligent deceleration control function includes obstacle deceleration recognition control function and curve deceleration recognition Control function, speed limit deceleration recognition control function, intersection deceleration recognition control function, slope deceleration recognition control function, the driver can make the switch selection of the last four recognition control functions under the premise that the intelligent deceleration control function is turned on.
- the infotainment and display system 211 will also intuitively feed back the setting information of the driver 212 to the driver 212, and will also prompt the driver 212 when the function is abnormal.
- the driver 212 operates the vehicle, and the result of the driver's operation is fed back to the vehicle control unit 201 through sensors.
- the main operation information includes accelerator pedal information, brake pedal information, steering information, gear handle information, and so on.
- the user can also operate the infotainment and display system, which has been mentioned above and will not be repeated.
- Vehicle control unit 201 also known as vehicle controller, receives or collects big data information system 208, obstacle detection system 209, road network information system 210, infotainment and display system 211, driver 212, deceleration controller 202, The relevant information of BMS203 and MCU204 determines whether the vehicle needs to decelerate or stop and how much deceleration is used to decelerate. After the judgement, the deceleration controller 202 and MCU204 are used to control the power motor 207 and the hydraulic actuator 205 to perform vehicle deceleration. Or stop action, in which the electric energy generated by the power motor 207 during the deceleration process will be recovered into the power battery 206.
- the deceleration controller 202 responds to the deceleration request and parking request of the vehicle control unit 201, and performs motor energy recovery deceleration and hydraulic brake deceleration distribution according to the deceleration request and parking request, and the hydraulic brake deceleration rate assigned to the hydraulic brake actuator 205
- the hydraulic actuator is directly controlled to execute, and the motor energy recovery deceleration allocated to the power motor 207 is reported to the vehicle control unit 201, and the vehicle control unit 201 controls the power motor 207 to execute through the MCU204.
- the distribution logic between the motor energy recovery deceleration and the hydraulic brake deceleration it can also be directly placed in the vehicle control unit 201.
- the hydraulic brake actuator 205 is controlled by the deceleration controller 202 to perform hydraulic brake.
- the BMS 203 detects the status of the power battery 206 and reports the available charging capacity of the power battery 206 to the vehicle control unit 201.
- the power battery 206 recovers the electric energy generated by the power motor 207 during the deceleration control process.
- the MCU 204 detects the status of the power motor 207 and reports the available recovery capacity of the power motor 207 to the vehicle control unit 201, and at the same time controls the power motor 207 to execute the commands of the vehicle control unit 201.
- the power motor 207 is controlled by the MCU 204, and the power motor 207 performs energy recovery braking.
- the vehicle control unit 201 can also collect state information of the vehicle itself, such as vehicle speed, acceleration, and other vehicle states.
- FIG. 3 is a schematic diagram of a target deceleration calculation process provided by an embodiment of the application.
- the vehicle control unit needs to obtain relevant information of the road network information system, obstacle detection system, big data information terminal, and driver Operation information and current vehicle status information (step 301). After the information is obtained, multiple operating conditions will be determined at the same time (steps 302 to 306). The determination is as follows:
- step 311 is executed: calculate the deceleration required for encountering the obstacle, and set a parking sign when the vehicle needs to stop. .
- the obstacle judgment function described in step 302 is available, which can mean that the communication of the system for providing obstacle judgment information (ie, the obstacle detection system) is normal and the communication information is valid.
- the required obstacle judgment information mainly includes the longitudinal distance, lateral distance, longitudinal relative speed and lateral relative speed between the front obstacle and the vehicle, the vehicle speed, and the longitudinal acceleration and lateral acceleration of the vehicle.
- the longitudinal distance given by the obstacle detection system is zero, it is considered that there is no obstacle ahead; if the longitudinal distance given by the obstacle detection system is non-zero, it is necessary to continue to judge: if the lateral distance is less than the third distance threshold, Or when the lateral approach time is less than a certain value of the longitudinal approach time (that is, the difference between the longitudinal approach time and the lateral approach time is less than the first time threshold), it is considered that there is an obstacle in front, and the above conditions for determining that there is an obstacle in front are not met When it is assumed that there are no obstacles ahead.
- the approach time can be obtained by dividing the relative distance by the relative speed.
- a is the estimated deceleration
- V is the longitudinal relative speed between the vehicle in front and the vehicle
- S is the longitudinal relative distance between the vehicle in front and the vehicle
- S1 is the driver at different speeds (generally referring to the speed of the vehicle in front, That is, the expected following distance under the vehicle speed of the preceding vehicle
- a1 is the acceleration of the preceding vehicle, and when the preceding vehicle is decelerating, a1 is negative.
- the difference between S and S1 cannot be a negative value. If S1 ⁇ S, the difference between S and S1 is set to a small positive value, and the small positive value can be called a preset distance difference.
- the parking sign in step 311 may mean that when the current vehicle speed is lower than a certain value and the relative distance is lower than a certain value Value1, the stop sign 1 is set; when the relative distance is lower than a certain value Value, the stop sign 2 is set. Value should be less than Value1.
- step 312 is executed: the estimated deceleration under the obstacle deceleration condition is set to a fixed value, such as If the obstacle judgment function is unavailable due to abnormal communication, the driver should be notified that the obstacle judgment function is unavailable.
- the estimated deceleration in step 312 is set to a fixed value, which may mean that the estimated deceleration is set to a larger positive acceleration, and the value of the positive acceleration can be set according to actual conditions.
- the communication abnormality may mean that the communication of the system for providing obstacle judgment information is interrupted or the communication information is invalid.
- the aforementioned informing the driver may refer to informing the driver in the form of text or graphics through the infotainment and display system 11. It can be combined with other working conditions to determine whether the obstacle judgment function is available, and comprehensively inform the driver whether the smart deceleration function is currently unavailable or the individual working condition judgment function is unavailable. For the function that the driver actively turns off, the driver may not be notified that the function that actively turns off is not available.
- step 310 calculate the deceleration required to enter the curve deceleration condition.
- the curve judgment function described in step 303 is available, which means that the system for providing curve judgment information (ie, the road network information system) has normal communication and effective communication information, and the driver has not turned off the turning deceleration condition recognition function.
- the required curve judgment information mainly includes the curvature information of the road ahead, the state information of the intersection, and whether the vehicle is driving in the turning lane line and so on.
- the road network information system gives no curvature and intersection information within a certain distance of the road ahead, or the curvature is small or there is intersection information but the vehicle is not driving on the turning lane line, it is considered that there is no turning deceleration condition ahead; if the above is not met When there is no judgment condition for turning and deceleration conditions, it is a turning and deceleration condition ahead. Whether the vehicle is driving in a turning lane line cannot be judged by the information given by the road network information system, and it can also be judged by the driver's operation of the turn signal.
- the deceleration described in step 310 is the estimated deceleration.
- S is less than a certain value, the corresponding deceleration control process ends.
- the certain value may be the fourth distance threshold.
- the relative distance is the distance from the current vehicle to the turning point, and the relative speed is the turning speed expected by the driver when the current vehicle reaches the turning point minus the current speed of the vehicle. There is no need to judge the stop sign in the curve deceleration condition.
- step 312 is executed to set the estimated deceleration under the curve deceleration condition to be fixed If the curve judgment function is unavailable due to abnormal communication, the driver can be informed that the curve judgment function is unavailable.
- the content of step 312 is the same as above.
- step 309 is executed: calculating the deceleration required to enter the speed limit deceleration condition.
- the speed limit judgment function described in step 304 is available, which means that the system (ie, the road network information system) for providing speed limit judgment information has normal communication and effective communication information, and the driver has not turned off the speed limit and deceleration condition recognition function.
- the required speed limit judgment information mainly includes the speed limit information of the road ahead, such as the start point and end point of the speed limit section, and the speed limit photo spot. If the road network information system gives a limited speed photo within a certain distance of the road ahead or is about to enter the speed limit zone, it is considered as the front speed limit deceleration condition; if the above judgment conditions for the speed limit deceleration condition are not met, the front is considered unlimited Speed deceleration conditions.
- the deceleration described in step 309 is the estimated deceleration.
- the calculation formula of the estimated deceleration is the same as the formula mentioned in step 310.
- the relative distance in the formula is the distance from the current vehicle to the starting point of the speed limit interval.
- the speed is the speed when the vehicle reaches the starting point of the speed limit zone minus the current speed of the vehicle.
- the corresponding deceleration is obtained according to the current vehicle speed look-up table.
- the speed limit and deceleration conditions also do not need to be judged by the stop sign.
- step 312 is executed: set the estimated deceleration under the speed limit deceleration condition as A fixed value. If the speed limit judgment function is unavailable due to abnormal communication, the driver can be informed that the speed limit judgment function is unavailable. The content of step 312 is the same as above.
- step 308 calculate the deceleration required to enter the intersection deceleration condition, and stop when the vehicle needs to stop Flag bit.
- intersection judgment function in step 305 is available, which means that the system (ie, the road network information system) for providing intersection judgment information has normal communication and effective communication information, and the driver has not turned off the intersection deceleration condition recognition function.
- the required intersection judgment information mainly includes the distance between the vehicle and the intersection ahead, the state of the intersection ahead (such as roundabouts, crossroads, forks, etc.), and the status and length of traffic lights at the intersection.
- the road network information system indicates that there is no traffic light at the intersection ahead, it is considered that there is no intersection deceleration condition ahead; if the road network information system indicates that there is a traffic light ahead, it is necessary to judge whether there is an intersection deceleration condition ahead according to the duration of the traffic light: if When the current is red and the vehicle is driving to the intersection at the current speed, the red light remains unchanged, or the current is green but the street light will turn red when the vehicle is driving to the intersection at the current speed. When it is determined that the conditions for the deceleration condition of the intersection ahead are not met, it is considered that there is no deceleration condition of the intersection ahead.
- the deceleration described in step 308 is the target deceleration.
- S is the distance from the current vehicle to the intersection
- V is the current vehicle speed.
- the stop flag is set to 1; when the relative distance is lower than a certain value Value, the stop flag is set to 2.
- the relative distance should be the distance between the vehicle and the ground parking line recognized by the camera.
- the estimated deceleration a 2*(SV*t1)/t1/t1, where a is the estimated deceleration, and V is the current speed of the vehicle , S is the distance from the current vehicle to the intersection, t1 is the time when the street light turns green when the vehicle arrives at the intersection.
- the above-mentioned estimated deceleration under different conditions of entering the intersection may be the deceleration calculated when the driver releases the accelerator pedal.
- step 312 is executed: set the estimated deceleration under the intersection deceleration condition to a fixed value, such as If the intersection judgment function is unavailable due to abnormal communication, the driver can be informed that the intersection judgment function is unavailable.
- the content of step 312 is the same as above.
- step 307 is executed to calculate the deceleration required for the slope deceleration condition.
- the slope judgment function described in step 306 is available, which means that the system for providing slope judgment information (that is, the road network information system) has normal communication and effective communication information, and the driver has not turned off the slope deceleration condition recognition function.
- the required slope judgment information mainly includes slope information of the road ahead. If the road network information system indicates that there is a downhill within a certain distance of the road ahead, it is considered that the front is entering the slope deceleration condition; if the judgment conditions for entering the slope deceleration condition are not met, it is that the front has not entered the slope deceleration condition condition.
- the deceleration described in step 307 is the estimated deceleration, and should be acceleration, which is the maximum acceleration at different vehicle speeds acceptable to the driver on different slopes (downhills). If the actual acceleration of the vehicle exceeds this acceleration, the vehicle will perform braking control. Sloping road deceleration conditions also do not need to be judged by stop signs.
- step 312 Set the estimated deceleration under the slope deceleration condition to fixed If the slope judgment function is unavailable due to abnormal communication, the driver can be informed that the slope judgment function is unavailable. The content of step 312 is the same as above.
- step 313 proceed to step 313.
- the deceleration with the largest absolute value among the estimated decelerations of the five working conditions is selected as the target estimated deceleration, that is, when the estimated deceleration is expressed by a negative number , which is equivalent to selecting the minimum deceleration in the estimated deceleration of the five working conditions as the target estimated deceleration.
- a parking sign is set. The sign includes: 0-do not stop, 1-slowly stop , 2- Emergency stop.
- the vehicle deceleration control method provided by the embodiments of the present application can realize intelligent deceleration control, using multi-party information to recognize multiple working conditions at the same time, and perform corresponding deceleration control or parking control according to the recognition result, and the calculated target deceleration is because The driver’s habits are quoted to better meet the driver’s deceleration expectations, and the recognition of multiple operating conditions can improve the recognition accuracy when operating conditions are crossed.
- FIG. 4 is a schematic diagram of a flow chart for performing automatic deceleration control according to a target deceleration provided by an embodiment of the application. As shown in FIG. 4, the flow may include the following steps.
- Step 401 Determine whether the smart deceleration function is enabled and the driver releases the accelerator pedal. If the smart deceleration function is enabled and the driver releases the accelerator pedal, step 402 is executed; if the smart deceleration function is not satisfied and the driver releases the accelerator pedal Pedal, repeat step 401.
- Step 402 Control the vehicle to decelerate according to the calculated target deceleration, or control the vehicle to stop according to the parking sign, and proceed to step 403 and step 406.
- Step 403 Determine whether it is satisfied that the driver has stepped on the brake pedal, and the driver's braking force demand is greater than the first threshold of the braking force generated by the braking system; if so, proceed to step 404; if the driver has not stepped on the brake The braking force demand of the pedal or the driver is less than or equal to the first threshold value of the braking force generated by the braking system, and step 402 is returned to.
- Step 404 In response to the driver's braking force demand for the entire vehicle, go to step 406.
- Step 405 Determine whether it is satisfied that the driver has stepped on the brake pedal, and the driver's braking force demand is less than the second threshold of the braking force generated by the braking system; if so, proceed to step 402; if the driver has not stepped on the brake The pedal or the driver's braking force demand is greater than or equal to the second threshold of the braking force generated by the braking system, and step 404 is returned to.
- Step 406 It is determined whether it is satisfied that the driver depresses the accelerator pedal or turns off the intelligent deceleration function; if so, ends the process; if the driver does not depress the accelerator pedal and does not turn off the intelligent deceleration function, repeat step 406.
- step 401 is continuously executed.
- the activation of the smart deceleration function means that the driver sets the smart deceleration function to the on state through the infotainment and display system 211, and not all the working condition recognition functions are unavailable as described above.
- the driver releasing the accelerator pedal means that the opening of the accelerator pedal collected by the VCU201 is less than a certain value.
- step 402 is continuously executed: control the vehicle to decelerate according to the calculated target deceleration, or control according to the parking sign The vehicle stopped.
- the control of vehicle deceleration according to the target deceleration means that when the deceleration controller 202 receives the target deceleration issued by the VCU201, it compares the target deceleration with the actual deceleration of the vehicle, and calculates the deceleration point through closed-loop control. According to the braking energy recovery capacity of the whole vehicle calculated by VCU201, the required braking force is allocated to the hydraulic actuator 205 and the power motor 207, because the distribution method of this decoupling brake system is It has been applied in the car, so I won't repeat it here.
- the entire deceleration process can be realized by the power motor 207, including stopping, to increase the electric energy recovery.
- the power motor 207 is locked for a long time, which may cause the temperature to rise too fast. If the power motor 207 is locked for a long time and the temperature of the power motor 207 rises too fast, it is necessary to switch to the hydraulic actuator 205 to complete the deceleration process.
- the control of stopping the vehicle according to the parking sign position includes slow stopping and emergency stopping.
- Slow parking refers to stopping the car according to a comfortable braking method.
- the parking distance of slow parking should not exceed the aforementioned Value1.
- Emergency parking refers to stopping the car quickly in a faster way.
- the parking distance of emergency parking should not exceed the value mentioned above, where Value1 should be greater than Value.
- the aforementioned braking force distribution function can also be implemented in VCU201.
- the deceleration controller 202 is only responsible for controlling the hydraulic actuator 205.
- step 403 proceed to step 403, when the judgment condition "the driver steps on the brake pedal, and the driver's braking force demand is greater than the first threshold of the braking force generated by the braking system" ("No" in step 403) is not satisfied , Continue to perform step 402 continuously.
- step 404 response The driver’s demand for braking force on the vehicle.
- the braking force demand of the driver refers to the braking force demanded by the driver calculated according to the stroke of the brake pedal, and the braking force generated by the braking system refers to the braking force calculated through the deceleration closed loop described above.
- the actual braking force generated on the system is consistent with the required braking force.
- step 405 proceed to step 405, when the judgment condition "the driver depresses the brake pedal and the driver's braking force demand is less than the second threshold of the braking force generated by the braking system" is not satisfied ("No" in step 405) , Continue to perform step 404 continuously.
- step 402 is executed again:
- the calculated target deceleration controls the vehicle to decelerate, or controls the vehicle to stop according to the parking sign.
- step 406 When entering step 402 or step 404, the judgment of step 406 is performed. When the judgment condition "the driver depresses the accelerator pedal or turns off the intelligent deceleration function" is not satisfied ("No" in step 406), keep the original step 402 or step 404, The judgment of step 406 is continued.
- step 406 When the judgment condition "the driver depresses the accelerator pedal or turns off the intelligent deceleration function" is satisfied ("Yes” in step 406), the whole process ends, and a new round of the process is restarted.
- the driver 212 can perform Environment perception and user information are acquired, and target deceleration calculations for various working conditions are performed.
- the hydraulic brake actuator 205 and the power motor 207 are directly controlled by the vehicle to automatically decelerate.
- the additional deceleration requirements can also be met.
- this function can reduce the fatigue caused by the driver frequently switching the accelerator pedal and the brake pedal under some working conditions.
- control system is a decoupling braking system
- the power motor 207 and the power battery 206 Within the allowable range, energy recovery can be used to decelerate until it stops, which greatly improves the economy of the vehicle and extends the driving range of the vehicle.
- FIG. 5 is a structural block diagram of a vehicle deceleration control device provided by an embodiment of the application.
- the device can be implemented by software and/or hardware.
- the device can generally be integrated in a vehicle, and the vehicle deceleration control can be performed by executing the vehicle deceleration control method.
- the device includes: an environmental information acquisition module 501, configured to acquire environmental information around the current vehicle;
- the automatic deceleration control module 503 is configured to detect the driver’s release of the accelerator pedal, and then perform the operation on the current vehicle according to the current operating condition category and the driver’s driving habit information. Automatic deceleration control.
- the vehicle deceleration control device provided in the embodiment of the present application can automatically recognize the working condition category according to the surrounding environment of the vehicle, and then, after detecting that the driver has released the accelerator pedal, combine the driver's personal information according to the current working condition category
- the driving habits of the vehicle are targeted and personalized automatic deceleration control, which can take into account the driver’s driving habits under different working conditions, and perform automatic deceleration that meets the driver’s deceleration needs, effectively reducing the driver’s frequent accelerator pedal and braking
- the fatigue of the moving pedal makes the vehicle more intelligent and energy-saving.
- the environmental information includes vehicle position information, obstacle information, and road traffic information;
- the current operating condition category includes at least one of the following: obstacle deceleration condition, curve deceleration condition, limit Speed deceleration conditions, intersection deceleration conditions and slope deceleration conditions.
- the automatic deceleration control module 503 is configured to implement the function of performing automatic deceleration control on the current vehicle according to the working condition category of the current working condition and the driving habit information of the driver:
- the working condition category of the current working condition determines the deceleration calculation method corresponding to the working condition category of the current working condition, and calculates the estimated deceleration according to the deceleration calculation method; Correction processing is performed on the estimated deceleration to obtain a target deceleration; automatic deceleration control is performed on the current vehicle according to the target deceleration.
- the automatic deceleration control module 503 is configured to be implemented in the following manner: according to the driving habit information of the driver, the estimated deceleration Perform correction processing to obtain the function of target deceleration: correct the estimated deceleration according to the driver’s driving habit information to obtain multiple corrected estimated decelerations; The maximum value is determined as the target deceleration.
- the current working condition determining module 502 is configured to: detect the working state of multiple working condition identifying units; for each working condition identifying unit in a normal working state, extract the current working condition identifying unit from the environmental information Corresponding information to be identified, and input the information to be identified into the current working condition recognition unit; determine the current working condition category of the current vehicle according to the output result of the working condition recognition unit in a normal working state .
- the device further includes: an information collection module configured to collect the driver's manipulation information during the deceleration process of the current vehicle in different working condition categories, and report the manipulation information to the corresponding server
- the manipulation information is used to instruct the server to determine the driving habit information of the driver according to the manipulation information
- the information receiving module is configured to receive the driving habit information of the driver issued by the server.
- the device further includes: a manipulation response module configured to perform automatic deceleration control on the current vehicle according to the working condition category of the current working condition and the driving habit information of the driver, Receive a manipulation instruction from the driver, and adjust the automatic deceleration control according to the manipulation instruction.
- a manipulation response module configured to perform automatic deceleration control on the current vehicle according to the working condition category of the current working condition and the driving habit information of the driver, Receive a manipulation instruction from the driver, and adjust the automatic deceleration control according to the manipulation instruction.
- An embodiment of the present application also provides a storage medium containing computer-executable instructions, which are used to execute a vehicle deceleration control method when executed by a computer processor, and the method includes: acquiring current environmental information around the vehicle; Determine the operating condition category of the current operating condition of the current vehicle according to the environmental information; after detecting that the driver releases the accelerator pedal, according to the operating condition category of the current operating condition and the driver’s driving habits The information performs automatic deceleration control on the current vehicle.
- the storage medium includes any type of memory device or storage device.
- storage medium is intended to include: installation media, such as CD-ROM (Compact Disc Read-Only Memory, CD-ROM), floppy disk or tape device; computer system memory or random access memory, such as dynamic random access memory ( Dynamic Random Access Memory (DRAM), Double Data Rate Random Access Memory (DDRRAM), Static Random Access Memory (SRAM), Extended Data Output Random Access Memory (Extended) Data Output Random Access Memory (EDORAM), Rambus Random Access Memory (Rambus RAM), etc.; non-volatile memory, such as flash memory, magnetic media (such as hard disk or optical storage); registers or other similar Types of memory elements, etc.
- the storage medium may further include other types of memory or a combination thereof.
- the storage medium may be located in a first computer system that executes the program, or may be located in a different second computer system, and the second computer system is connected to the first computer system through a network (such as the Internet).
- the second computer system can provide the program instructions to the first computer for execution.
- the term "storage medium" may include two or more storage media that may reside in different locations (for example, in different computer systems connected through a network).
- the storage medium may store program instructions executable by one or more processors (for example, implemented as a computer program).
- a storage medium containing computer-executable instructions provided by the embodiments of the present application can realize but is not limited to the aforementioned vehicle deceleration control operation when the computer-executable instructions are executed, and can also implement any embodiment of the present application.
- Related operations in the provided vehicle deceleration control method can realize but is not limited to the aforementioned vehicle deceleration control operation when the computer-executable instructions are executed, and can also implement any embodiment of the present application.
- the embodiment of the present application provides a vehicle in which the vehicle deceleration control device provided in the embodiment of the present application can be integrated.
- Fig. 6 is a structural block diagram of a vehicle provided by an embodiment of the application.
- the vehicle 600 may include: a memory 601, a processor 602, and a computer program stored on the memory 601 and running on the processor.
- the processor 602 implements the vehicle deceleration control as described in the embodiment of the present application when the processor 602 executes the computer program. method.
- the processor 602 may be a vehicle controller.
- the vehicle when the driver releases the accelerator pedal, can automatically recognize the working condition category according to the surrounding environment of the vehicle, and then according to the working condition category of the current working condition combined with the driver’s personal driving habits, Carrying out targeted and personalized automatic deceleration control can take into account the driver’s driving habits under different working conditions, and perform automatic deceleration that meets the driver’s deceleration needs, effectively reducing the driver’s fatigue from frequently stepping on the accelerator pedal and the brake pedal, so that Vehicles are more intelligent and energy-saving.
- the vehicle deceleration control device, storage medium, and vehicle provided in the foregoing embodiments can execute the vehicle deceleration control method provided by any embodiment of the present application, and have corresponding functional modules for executing the method.
- vehicle deceleration control method provided in any embodiment of the present application.
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Abstract
一种车辆减速控制方法、装置、存储介质及车辆,其中该车辆减速控制方法包括:获取车辆周围的环境信息;根据所述环境信息确定所述车辆所处的当前工况的工况类别;在检测到驾驶员松开所述车辆的油门踏板后,根据所述当前工况的工况类别和所述驾驶员的驾驶习惯信息对所述车辆进行自动减速控制。
Description
本申请要求在2020年04月17日提交中国专利局、申请号为202010304918.0的中国专利申请的优先权,该申请的全部内容通过引用结合在本申请中。
本申请实施例涉及车辆技术领域,例如涉及车辆减速控制方法和装置、存储介质及车辆。
车辆的减速过程包括滑行减速和制动减速。以电动车辆为例,滑行减速是指当驾驶员松开车辆的油门踏板后,车辆通过电机制动能量回收的方式进行减速,滑行减速最开始是为了模拟传统发动机的反拖力矩和回收部分动能,后来是为了实现回收和存储更多的动能。车辆会在不同的驾驶模式下提供不同的能量回收强度,如在正常模式下,能量回收强度较小,在经济模式下,能量回收强度较大。以电动车辆为例,制动减速是指驾驶员踩下制动踏板后,车辆根据驾驶员的制动需求进行减速。车辆的制动系统包括解耦式制动系统和非解耦式制动系统,对于解耦式制动系统,在驾驶员踩下制动踏板后,车辆的减速度在一定减速度以下时,车辆的制动均为能量回收制动,车辆的减速度在一定减速度以上时,则液压制动参与车辆的制动;对于非解耦式制动系统,在驾驶员踩下制动踏板后,车辆的制动同时存在液压制动和能量回收制动,随着制动踏板踩下的越多,液压制动和能量回收制动也都会逐渐增加相应的制动力。
在滑行减速方式中,虽然车辆在不同的驾驶模式下提供了不同的能量回收强度,对应不同的减速强度,但由于实际道路的工况多变,单一的能量回收强度不能够满足驾驶员在所有工况下的减速需求,在一些工况下,驾驶员会希望没有滑行减速,让车滑的越远越好,但由于设置的驾驶模式下有滑行减速,这就导致驾驶员需要再踩下油门踏板来满足目标减速需求;而在一些工况下,驾驶员则希望车辆能够有一定的减速效果,但减速可能又无法满足实际减速需求,驾驶员就需要踩下制动踏板来满足实际的减速需求。频繁松开加速踏板再踩下制动踏板也会给驾驶员造成疲劳。对于非解耦式制动系统,驾驶员只要踩下制动踏板就会有能量通过摩擦损失掉;对于解耦式制动系统,驾驶员可能会在一些不需要急踩制动踏板的工况下急踩制动踏板,这也使得液压制动参与车辆的制动造成能量损失,如果换作自动减速则在非解耦式制动系统中损失的能量和在解耦式系统中损失的能量可最大限度地被回收。
为了使车辆更加智能化,需要提供智能的减速控制方案,然而,车辆减速控制方案仍不够完善,需要改进。
发明内容
本申请实施例提供了车辆减速控制方法、装置、存储介质及车辆,可以优化车辆减速控制方案。
本申请实施例提供了一种车辆减速控制方法,包括:获取车辆周围的环境信息;根据所述环境信息确定所述当前车辆所处的当前工况的工况类别;在检测到驾驶员松开所述车辆的油门踏板后,根据所述当前工况的工况类别和所述驾驶员的驾驶习惯信息对所述车辆进行自动减速控制。
本申请实施例提供了一种车辆减速控制装置,包括:环境信息获取模块,设置为获取车辆周围的环境信息;当前工况确定模块,设置为根据所述环境信息确定所述车辆所处的当前工况的工况类别;自动减速控制模块,设置为在检测到驾驶员松开所述车辆的油门踏板后,根据所述当前工况类别和所述驾驶员的驾驶习惯信息对所述车辆进行自动减速控制。
本申请实施例提供了一种计算机可读存储介质,其上存储有计算机程序,该程序被处理器执行时实现如本申请实施例提供的车辆减速控制方法。
本申请实施例提供了一种车辆,包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序,所述处理器执行所述计算机程序时实现如本申请实施例提供的车辆减速控制方法。
图1为本申请实施例提供的一种车辆减速控制方法的流程示意图;
图2为本申请实施例提供的一种车辆减速控制系统的结构框图;
图3为本申请实施例提供的一种目标减速度的计算流程示意图;
图4为本申请实施例提供的一种根据目标减速度执行自动减速控制的流程示意图;
图5为本申请实施例提供的一种车辆减速控制装置的结构框图;
图6为本申请实施例提供的一种车辆的结构框图。
下面结合附图并通过实施方式来说明本申请的技术方案。可以理解的是,此处所描述的实施例仅仅用于解释本申请,而非对本申请的限定。为了便于描述,附图中仅示出了与本申请相关的部分而非全部结构。
一些示例性实施例被描述成作为流程图描绘的处理或方法。虽然流程图将多个步骤描述成顺序的处理,但是许多步骤可以被并行地、并发地或者同时实施。多个步骤的顺序可以被重新安排。当多个步骤的操作完成时所述处理可以被终止,但是所述处理还可以具有未包括在附图中的附加步骤。所述处理可以对应于方法、函数、规程、子例程、子程序等等。
图1为本申请实施例提供的一种车辆减速控制方法的流程示意图,该方法可以由车辆减速控制装置执行,该装置可由软件和/或硬件实现,该装置一般可集成在车辆中,该车辆可以是电动车辆,电动车辆例如可包括纯电动车型和混合动力车型等新能源车型。如图1所示,该方法包括如下步骤。
步骤101、获取当前车辆周围的环境信息。
示例性的,当前车辆可理解为本车。当前车辆周围所对应的范围可根据实际情况进行设定,实际情况可包括如检测范围需求以及车辆的检测能力(如车辆的传感器能够检测的范围)等等。环境信息的获取操作可实时执行,也可以以预设频率触发执行。
示例性的,环境信息可包括车辆的位置信息、障碍物信息和道路交通信息等。车辆的位置信息例如可包括车辆所在的地区,车辆所在的当前道路的等级(如高速公路、城市快速路以及市区一般道路等),车辆是否处于上坡、下坡或弯道路段,车辆是否行驶在转弯车道线内,以及车辆与道路的参考点(如转弯处、路口、停车线以及交通信号灯)之间的距离等等,车辆的位置信息还可包括前方路口的状态(如环岛、十字路口以及岔路口等);障碍物信息例如可包括障碍物类型(如路障或杂物等静止物体,行人、动物以及其他行进中的车辆等),障碍物与当前车辆之间的距离,以及障碍物的运动信息(如行进方向以及速度等)等。示例性的,障碍物信息可包括如前方障碍物与本车辆(即当前车辆)之间的纵向距离、侧向距离、纵向相对速度和侧向相对速度、本车辆离地面停车线的距离等;道路交通信息例如可包括交通信号灯信息(如红绿灯状态以及时长信息等),道路拥堵情况,以及道路施工信息等,还可包括如道路曲率信息、坡路信息以及前方道路的限速信息等等。
步骤102、根据所述环境信息确定所述当前车辆所处的当前工况的工况类别。
示例性的,可按照实际需求对工况进行类别划分,如可包括障碍物减速工况、弯道减速工况、限速减速工况、路口减速工况和坡路减速工况等。相关技术中,仅支持单一工况的识别,常见的工况为障碍物类工况,无法适应于多变的工况的场景,导致减速控制方案比较固化,灵活性很差,减速控制效果也不能够满足用户需求。而本申请实施例中,针对工况进行划分,可有效针对当前的环境信息识别出当前工况,有利于后续进行有针对性的减速控制。
示例性的,可预先建立工况识别模型,将所获取到的环境信息输入到工况识别模型中,根据工况识别模型的输出结果确定当前工况的工况类别,当前工况的工况类别的数量不做限定,可以是一种,也可以是多种(也就是说当前车辆同时处于多种工况)。可选的,所述当前工况的工况类别包括以下至少一项:障碍物减速工况、弯道减速工况、限速减速工况、路口减速工况和坡路减速工况。
可选的,可以根据多个工况类别分别设置多个工况类别各自独立的工况识别单元或工况识别系统,例如,分别设置障碍物减速工况识别单元、弯道减速工况识别单元、限速减速工况识别单元、路口减速工况识别单元和坡路减速工况识别单元。每个工况识别单元可以对应一个独立的工况识别模型,例如,障碍物减速工况识别单元对应障碍物减速工况识别模型。
上述工况识别模型可以是神经网络模型,工况识别模型可以提高工况识别的准确性。
对于每个工况识别单元,可以独立设置开关,由车辆根据实际情况自动设置开关的状态,或由驾驶员根据自身需求设置开关的状态。
可选的,根据所述环境信息确定所述当前车辆所处的当前工况的工况类别,包括:检测多个工况识别单元的工作状态;针对处于正常工作状态的每个工况识别单元,从所述环境信息中提取当前工况识别单元对应的待识别信息,并将所述待识别信息输入至所述当前工况识别单元中;根据处于正常工作状态的所有工况识别单元的输出结果,确定所述当前车辆所处的当前工况的工况类别。这样设置的好处在于,可以针对不同的工况类别进行并行识别,提高识别效率,进而保证减速控制的时效性。每个工况识别单元的工作状态可包括开关状态,还可包括通信状态,通信状态可包括通信功能是否正常以及通信信息是否有效等。
步骤103、在检测到驾驶员松开油门踏板后,根据所述当前工况的工况类别和所述驾驶员的驾驶习惯信息对所述当前车辆进行自动减速控制。
示例性的,可通过获取油门踏板(又称加速踏板)的开合程度等信息来确 定是否检测到驾驶员松开油门踏板。
示例性的,可预先针对不同的工况类别设定有针对性的减速控制策略,减速控制策略中例如可包括减速度计算方式。
示例性的,驾驶员的驾驶习惯信息可包括驾驶员针对当前工况的驾驶习惯信息,也可包括驾驶员在历史驾驶过程中的所有驾驶习惯信息等,驾驶习惯信息的内容可根据实际情况设置,本申请实施例不做限定。
示例性的,可以综合考虑当前工况的工况类别和驾驶员的驾驶习惯信息确定出适合当前车辆的自动减速控制方式,进而对车辆进行制动控制,使得自动减速过程既能满足当前工况的需求又能贴合驾驶员自身的需求,避免驾驶员因当前的减速过程不满足自身的需求而频繁自行操控,如频繁松开加速踏板再踩下制动踏板等操作。
示例性的,在确定出适合当前车辆的自动减速控制方式之后,可控制车辆相关部件(如减速控制器、液压制动执行机构、动力电池以及动力电机等等)进行配合减速,以达到自动减速的目的。减速控制方式和控制过程在本申请实施例中不做限定。
可选的,驾驶员的驾驶习惯信息可以由服务器根据车辆上报的驾驶员作用于车辆上的操控信息进行收集、汇总以及模型运算等相关处理得到,并将驾驶员的驾驶习惯信息下发至当前车辆。
示例性的,该方法可包括:在不同的工况类别下的当前车辆的减速过程中,采集所述驾驶员的操控信息,并将所述操控信息上报至服务器,操控信息用于指示所述服务器根据所述操控信息确定所述驾驶员的驾驶习惯信息;接收所述服务器下发的所述驾驶员的驾驶习惯信息。操控信息可包括如油门踏板信息、制动踏板信息、转向灯信息、车速及车辆加减速度等信息。后台服务器可根据本车司机的驾驶风格(也即驾驶习惯信息)以及大数据获取的大多数司机的驾驶风格,综合给出不同工况下的适合本车司机的驾驶方式,如不同弯道下司机的过弯车速、不同坡路(下坡)下和不同车速下司机可接受的最大加速度、以及不同车速下的跟车距离等。对于当前工况来说,若存在本车驾驶员的驾驶习惯信息,则优先参考本车驾驶员的驾驶习惯信息进行自动减速控制;若由于样本不足等原因(如本车辆为近期购买的新车,或驾驶员很少遇到当前工况等),导致无法获取本车驾驶员的驾驶习惯信息,则可根据大数据获取的大多数司机的驾驶习惯信息进行自动减速控制。
本申请实施例中的自动减速控制可包括自动停车,如在障碍物减速工况或路口减速工况等工况类型下,可能需要通过停车来躲避障碍物或等待红灯等。 可以为需要停车的情况单独设置停车标志位,并针对不同的停车需求为停车标志位置值。如当车速低于第一速度阈值,同时车辆与障碍物之间的相对距离或者车辆与红灯之间的相对距离低于第一距离阈值时,置停车标志位为1,可理解为缓慢停车;当车辆与障碍物之间的相对距离或者车辆与红灯之间的相对距离低于第二距离阈值时,置停止标志位为2,可理解为紧急停车。第二距离阈值小于第一距离阈值。停车标志位为0时,可理解为不需要停车。
本申请实施例中提供的车辆减速控制方法,获取当前车辆周围的环境信息,根据环境信息确定当前车辆所处的当前工况的工况类别,在检测到驾驶员松开油门踏板后,根据当前工况的工况类别和驾驶员的驾驶习惯信息对当前车辆进行自动减速控制。通过采用上述技术方案,可以自动根据车辆周围环境进行工况的类别的识别,进而当驾驶员松开油门踏板后,可以根据当前工况的工况类别,结合驾驶员个人的驾驶习惯,对车辆进行有针对性的个性化自动减速控制,可在不同工况下兼顾驾驶员的驾驶习惯,进行满足驾驶员的减速需求的自动减速,有效减少驾驶员频繁踩油门踏板和制动踏板的疲劳,使车辆更加智能化和节能化。
在一些实施例中,根据所述当前工况的工况类别和所述驾驶员的驾驶习惯信息对所述当前车辆进行自动减速控制,包括:根据所述当前工况的工况类别确定所述当前工况的工况类别对应的减速度计算方式,并根据所述减速度计算方式计算预估减速度;根据所述驾驶员的驾驶习惯信息对所述预估减速度进行修正处理,得到目标减速度;根据所述目标减速度对所述当前车辆进行自动减速控制。这样设置的好处在于,可先根据工况类别快速计算预估减速度,然后再根据驾驶习惯信息对预估减速度进行修正,在整体上加快目标减速度的计算过程,提高计算效率,进而提高自动减速控制的响应速度。
预估减速度和/或目标减速度可以是一个固定的减速度值,也可以是动态变化的减速度值,也即可以反映在减速过程中减速度值的变化过程。可选的,预估减速度可以是一个固定的减速度值,目标减速度可以是在参考了驾驶习惯信息后,在预估减速度基础上修正得到的固定的减速度值或动态变化的减速度值。
可选的,在计算预估减速度时,也可能参考驾驶员的驾驶习惯信息,也即,所述减速度计算方式中可能需要用到驾驶员的驾驶习惯信息,如不同车速下的跟车距离等。在对预估减速度进行修正时,参考驾驶员的驾驶习惯信息可包括:驾驶员习惯先快点减速然后再慢点减速,或者驾驶员习惯先慢再快再变慢等,也即减速度的变化趋势。当然还可参考其他的驾驶习惯信息,本申请实施例对此不做限定。
在一些实施例中,当所述当前工况的工况类别包括至少两项时,所述根据 所述驾驶员的驾驶习惯信息对所述预估减速度进行修正处理,得到目标减速度,包括:根据所述驾驶员的驾驶习惯信息对所述预估减速度进行修正处理,得到多个修正预估减速度;将多个修正预估减速度中的最大值确定为目标减速度。这样设置的好处在于,兼顾多种工况下的共同的减速需求以及驾驶员的驾驶习惯,先修正预估减速度,再选取目标减速度,使得所选目标减速度更加准确。当用负数表示预估减速度时,在确定目标减速度时,相当于取多个修正预估减速度中的最小值。
在一些实施例中,当所述当前工况的工况类别包括至少两项时,所述根据所述驾驶员的驾驶习惯信息对所述预估减速度进行修正处理,得到目标减速度,包括:将多个预估减速度中的最大值确定为目标预估减速度;根据所述驾驶员的驾驶习惯信息对所述目标预估减速度进行修正处理,得到目标减速度。这样设置的好处在于,兼顾多种工况下的共同的减速需求以及驾驶员的驾驶习惯,先筛选目标预估减速度,再对目标预估减速度进行修正,可以提高目标减速度的计算效率。当用负数表示预估减速度时,在确定目标预估减速度时,相当于取多个预估减速度中的最小值。
在一些实施例中,在所述根据所述当前工况的工况类别和所述驾驶员的驾驶习惯信息对所述当前车辆进行自动减速控制的过程中,该方法还包括:接收所述驾驶员的操控指令,并根据所述操控指令对所述自动减速控制进行调整。这样设置的好处在于,在自动减速过程中仍然能够响应驾驶员的额外的减速意图,保证车辆在减速过程中的可控性。
图2为本申请实施例提供的一种车辆减速控制系统的结构框图,该系统可采用本申请实施例提供的车辆减速控制方法进行自动减速控制。如图2所示,该系统主要包括:智能减速环境感知及用户信息获取部分(大数据信息终端208、障碍物探测系统209、路网信息系统210和信息娱乐及显示系统211);智能减速主要逻辑控制部分(整车控制单元(Vehicle Control Unit,VCU)201);智能减速执行部分(减速控制器202、电池管理系统(Battery Management System,BMS)203、微控制器(Micro Controller Unit,MCU)204、液压制动执行机构205、动力电池206和动力电机207)。驾驶员212可通过信息娱乐及显示系统211以及车辆的相关控制部件与车辆减速控制系统进行交互。
上述多个部件在智能减速功能下的主要职责分工如下:
大数据信息终端208将车辆及路况信息实时上传给后台服务器,车辆信息主要包括油门踏板信息、制动踏板信息、转向灯信息、车速及车辆加减速度等信息,路况信息主要包括道路曲率信息、坡路信息、车辆前方的障碍物信息、车辆到路口的距离及交通灯等信息。后台服务器根据本车司机的驾驶风格以及 大数据获取的大多数司机的驾驶风格,综合给出不同工况下的适合本车司机的驾驶方式,如不同弯道下司机的过弯车速,不同坡路(下坡)下和不同车速下司机可接受的最大加速度,不同车速下的跟车距离等。后台服务器同时通过驾驶习惯信息的收发终端将驾驶习惯信息传递给整车控制单元201。
障碍物探测系统209主要用于识别前方障碍物,识别信息主要包括前方障碍物与本车辆之间的纵向距离、侧向距离、纵向相对速度和侧向相对速、本车辆离地面停车线的距离等。该系统应能够探测较远距离的障碍物,该系统可由雷达和摄像头等探测类传感器共同组成。
路网信息系统210能够将车辆的当前位置以及道路交通信息实时上报给整车控制单元201。所上报的信息主要包括当前道路的等级(如高速公路、城市快速路、市区一般道路等),车辆离前方路口的距离,前方路口的状态(如环岛、十字路口、岔路口等),路口处红绿灯状态及时长,前方道路的曲率信息,前方道路的坡路信息,前方道路的限速信息,车辆是否行驶在转弯车道线内等。这些信息被整车控制单元201用于判定车辆的减速预期。
信息娱乐及显示系统211主要用于驾驶员212对驾驶模式的选择以及对智能减速控制功能的开关选择。车辆本身具备多种驾驶模式,如舒适模式、经济模式、运动模式等,不同模式下驾驶员又可以选择是否开启智能减速控制功能,智能减速控制功能包括障碍物减速识别控制功能、弯道减速识别控制功能、限速减速识别控制功能、路口减速识别控制功能、坡路减速识别控制功能,驾驶员可以在智能减速控制功能开启的前提下做后四种识别控制功能的开关选择。该信息娱乐及显示系统211同样会将驾驶员212的设置信息直观反馈给驾驶员212,同时也会在功能出现异常时提示驾驶员212。
驾驶员212对车辆进行操作,驾驶员的操作结果会通过传感器反馈给整车控制单元201,主要的操作信息包括加速踏板信息、制动踏板信息、转向信息、挡位手柄信息等。同时用户也可以对信息娱乐及显示系统进行操作,上述已提及,不再赘述。
整车控制单元201,又称整车控制器,接收或采集大数据信息系统208、障碍物探测系统209、路网信息系统210、信息娱乐及显示系统211、驾驶员212、减速控制器202、BMS203以及MCU204的相关信息,对车辆是否需要减速或停车以及采用多大减速度减速进行判断,判断后通过给减速度控制器202和MCU204发指令来控制动力电机207和液压执行机构205执行整车减速或停车动作,其中动力电机207在执行减速过程中所产生的电能将回收到动力电池206中。
减速控制器202响应整车控制单元201的减速请求和停车请求,并根据减 速请求和停车请求进行电机能量回收减速和液压制动减速分配,分配给液压制动执行机构205的液压制动减速则直接控制液压执行机构执行,分配给动力电机207的电机能量回收减速则上报给整车控制单元201,由整车控制单元201通过MCU204控制动力电机207执行。关于电机能量回收减速和液压制动减速之间的分配逻辑,也可直接放在整车控制单元201中。
液压制动执行机构205受减速控制器202的控制,执行液压制动。
BMS203检测动力电池206状态,并上报动力电池206的可用充电能力给整车控制单元201。
动力电池206回收动力电机207在减速控制过程中产生的电能。
MCU204检测动力电机207状态,并上报动力电机207的可用回收能力给整车控制单元201,同时控制动力电机207执行整车控制单元201的命令。
动力电机207受MCU204的控制,动力电机207执行能量回收制动。
除了上述功能部件外,整车控制单元201还可以采集车辆自身的状态信息,如车速、加速度以及其他整车状态等。
图3为本申请实施例提供的一种目标减速度的计算流程示意图,参考图3,首先整车控制单元需要获取路网信息系统、障碍物探测系统、大数据信息终端的相关信息、驾驶员操作信息以及车辆当前相关状态信息(步骤301),获取信息后将同时进行多种工况的判别(步骤302~306),判别如下:
当满足判断条件“障碍物判断功能可用且前方有障碍物”(步骤302中“是”)时,执行步骤311:计算遇到障碍物所需的减速度,当车辆需要停车时置停车标志位。
步骤302所述的障碍物判断功能可用,可指用于提供障碍物判断信息的系统(即障碍物探测系统)的通信正常且通信信息有效。所需的障碍物判断信息主要包括前方障碍物与本车辆之间的纵向距离、侧向距离、纵向相对速度和侧向相对速,本车车速,以及本车的纵向加速度及侧向加速度。如果障碍物探测系统给出的纵向距离为零时,则认为前方没有障碍物;如果障碍物探测系统给出的纵向距离非零时,则需要继续判断:如果侧向距离小于第三距离阈值,或者侧向接近时间小于纵向接近时间一定值(即纵向接近时间与侧向接近时间的差值小于第一时间阈值)时,则认为前方有障碍物,在上述判定前方有障碍物的条件未满足时,认为前方没有障碍物。所述的接近时间可以通过相对距离除以相对速度得到。
步骤311所述的减速度,即障碍物减速工况下的预估减速度,可通过基本公式计算得到:V小于零时,a=-V*V/2/(S-S1)+a1;V大于零时,a=V*V/2/ (S-S1)+a1。a为预估减速度,V为前方车与本车辆之间的纵向相对速度,S为前方车与本车辆之间的纵向相对距离,S1为驾驶员在不同车速(一般指前方车辆的车速,即前车车速)下的期望跟车距离,a1为前车加速度,前车减速时,a1为负。S与S1的差值不能为负值,若S1≥S,则将S与S1的差值设定为较小正值,该较小正值可称为预设距离差值。为保证目标减速度的准确,需要在预估减速度基础上根据驾驶员的驾驶习惯信息做修正处理,得到修正预估减速度。
步骤311所述的停车标志位,可指当前车车速低于一定值同时相对距离低于一定值Value1时,置停车标志位1;当相对距离低于一定值Value时,置停止标志位2。Value应该小于Value1。
当不满足判断条件“障碍物判断功能可用且前方有障碍物”(步骤302中“否”)时,执行步骤312:将障碍物减速工况下的预估减速度设定为固定值,如由于通信异常导致障碍物判断功能不可用,则应将障碍物判断功能不可用告知驾驶员。
步骤312所述的预估减速度设定为固定值,可指将预估减速度设定为较大的正加速度,正加速度的数值可根据实际情况设定。所述的通信异常可指用于提供障碍物判断信息的系统的通信中断或通信信息为无效值。所述的告知驾驶员,可指通过信息娱乐及显示系统11以文字或图形形式告知驾驶员。可结合其他工况判断障碍物判断功能是否可用,综合告知驾驶员当前是智能减速功能不可用还是个别工况判断功能不可用。对于驾驶员主动关闭的功能,可以不告知驾驶员主动关闭的功能不可用。
当满足判断条件“弯道判断功能可用且前方进入弯道减速工况”(步骤303中“是”)时,执行步骤310:计算进入弯道减速工况所需的减速度。
步骤303所述的弯道判断功能可用,是指用于提供弯道判断信息的系统(即路网信息系统)的通信正常且通信信息有效,同时驾驶员未关闭转弯减速工况识别功能。所需的弯道判断信息主要包括前方道路的曲率信息、路口状态信息,以及车辆是否行驶在转弯车道线内等。如果路网信息系统给出前方道路一定距离范围内无曲率和路口信息,或者曲率较小或者有路口信息但车辆未行驶在转弯车道线上,则认为前方无转弯减速工况;如果不满足上述无转弯减速工况的判断条件时,则为前方有转弯减速工况。所述车辆是否行驶在转弯车道线内如无法通过路网信息系统给出的信息判断,也可通过驾驶员对转向灯的操作进行判断。
步骤310所述的减速度即预估减速度,预估减速度可通过基本公式计算得到:a=-V*V/2/S,其中a为预估减速度,V为纵向相对速度,S为纵向相对距离。 为保证目标减速度的准确,需要在预估减速度的基础上根据驾驶员的驾驶习惯信息做修正处理,得到修正预估减速度,当S小于一定值后结束相应的减速控制过程,这里的一定值可以是第四距离阈值。相对距离为当前车辆到转弯处的距离,相对速度为当前车辆到达转弯处时驾驶员期望的转弯速度减去车辆当前的速度。弯道减速工况不需要做停车标志位判断。
当不满足判断条件“弯道判断功能可用且前方进入弯道减速工况”(步骤303中“否”)时,执行步骤312,将弯道减速工况下的预估减速度设定为固定值,如由于通信异常导致弯道判断功能不可用,则可告知驾驶员弯道判断功能不可用。步骤312所述内容同上。
当满足判断条件“限速判断功能可用且前方有限速减速工况(步骤304中“是”)时,执行步骤309:计算进入限速减速工况所需的减速度。
步骤304所述的限速判断功能可用,是指用于提供限速判断信息的系统(即路网信息系统)的通信正常且通信信息有效,同时驾驶员未关闭限速减速工况识别功能。所需的限速判断信息主要包括前方道路的限速信息,如限速区间的起始点和终点以及限速拍照点等。如果路网信息系统给出前方道路一定距离范围内有限速拍照或者即将进入限速区,则认为前方有限速减速工况;如果不满足上述有限速减速工况的判断条件时,则认为前方无限速减速工况。
步骤309所述的减速度即预估减速度,预估减速度的计算公式与步骤310中所提及的公式一致,公式中的相对距离为当前车辆到限速区间的起始点的距离,相对速度为车辆到达限速区间的起始点时的速度减去车辆当前的速度,当车辆已经进入限速区时则根据当前车速查表得到相应的减速度。限速减速工况同样不需要做停车标志位判断。
当不满足判断条件“限速判断功能可用且前方进方有限速减速工况”(步骤303中“否”)时,执行步骤312:将限速减速工况下的预估减速度设定为固定值,如由于通信异常导致限速判断功能不可用,则可告知驾驶员限速判断功能不可用。步骤312所述内容同上。
当满足判断条件“路口判断功能可用且前方有路口减速工况”(步骤305中“是”)时,执行步骤308:计算进入路口减速工况所需的减速度,当车辆需要停车时置停车标志位。
步骤305所述的路口判断功能可用,是指用于提供路口判断信息的系统(即路网信息系统)的通信正常且通信信息有效,同时驾驶员未关闭路口减速工况识别功能。所需的路口判断信息主要包括车辆离前方路口的距离,前方路口状态(如环岛、十字路口、岔路口等),路口处红绿灯的状态及时长。如果路网 信息系统给出前方路口没有红绿灯时,则认为前方没有路口减速工况;如果路网信息系统给出前方有红绿灯时,则需要根据红绿灯的时长判断前方是否有路口减速工况:如果当前为红灯且车辆以当前速度行驶至路口处时红灯仍未改变,或者当前为绿灯但车辆以当前速度行驶至路口处时路灯会变为红色,则认为前方有路口减速工况,在判定前方有路口减速工况的条件没有满足时,认为前方没有路口减速工况。
步骤308所述的减速度即目标减速度。首先根据当前车速V和当前车辆到路口的距离S,计算当前车辆到路口停车所需时间t=2S/V。如果时间t小于车辆到达路口时路灯变为绿色的时间t1,则预估减速度a=-V*V/2/S,S为当前车辆到路口的距离,V为当前车速。为保证目标减速度的准确,需要在预估减速度的基础上根据驾驶员的驾驶习惯信息做的修正处理,得到修正预估减速度,同时要避免除零的情况发生。同时当车速低于一定值同时相对距离低于一定值Value1时,置停车标志位为1;当相对距离低于一定值Value时,置停止标志位为2。相对距离应该为摄像头识别到的本车离地面停车线的距离。
如果时间t大于车辆到达路口时路灯变为绿色的时间t1,则预估减速度a=2*(S-V*t1)/t1/t1,其中a为预估减速度,V为本车的当前速度,S为当前车辆到路口的距离,t1为车辆到达路口时路灯变为绿色的时间。为保证目标减速度的准确,需要在预估减速度的基础上根据驾驶员的驾驶习惯信息做修正处理,得到修正预估减速度,同时要避免除零的情况发生。这种情况下,不需要做停车标志位判断。
上述所提到的进入路口的不同条件下的预估减速度可以为驾驶员松开油门踏板时计算的减速度。
当不满足判断条件“路口判断功能可用且前方有路口减速工况”(步骤305中“否”)时,执行步骤312:将路口减速工况下的预估减速度设定为固定值,如由于通信异常导致路口判断功能不可用,则可告知驾驶员路口判断功能不可用。步骤312所述内容同上。
当满足判断条件“坡路判断功能可用且前方进入坡路减速工况”(步骤306中“是”)时,执行步骤307,计算坡路减速工况所需的减速度。
步骤306所述的坡路判断功能可用,是指用于提供坡路判断信息的系统(即路网信息系统)的通信正常且通信信息有效,同时驾驶员未关闭坡路减速工况识别功能。所需的坡路判断信息主要包括前方道路的坡路信息。如果路网信息系统给出前方道路一定距离范围内有下坡路,则认为前方进入坡路减速工况;如果不满足上述进入坡路减速工况的判断条件,则为前方未进入坡坡路减速工况。
步骤307所述的减速度即预估减速度,且应该为加速度,该加速度为不同坡路(下坡)下司机可接受的不同车速下的最大加速度。如果车辆的实际加速度超过该加速度,车辆将进行制动控制。坡路减速工况同样不需要做停车标志位判断。
当不满足判断条件“坡路判断功能可用且前方进入坡路减速工况”(步骤303中“否”)时,执行步骤312:将坡路减速工况下的预估减速度设定为固定值,如由于通信异常导致坡路判断功能不可用,则可告知驾驶员坡路判断功能不可用。步骤312所述内容同上。
接下来进入步骤313,当用负数表示预估减速度时,选取五种工况的预估减速度中绝对值最大的减速度作为目标预估减速度,即当用负数表示预估减速度时,相当于选取五种工况的预估减速度中的最小减速度作为目标预估减速度,同时当车辆需要停车时置停车标志位,该标志位包含:0-不停车,1-缓慢停车,2-紧急停车。
本申请实施例提供的车辆减速控制方法,能够实现智能减速控制,利用多方信息对多种工况同时进行识别,并根据识别结果进行相应的减速控制或停车控制,同时所计算的目标减速度因为引用了驾驶员习惯,能够更好的满足驾驶员的减速预期,多工况识别能够提高工况交叉时的识别准确性。
图4为本申请实施例提供的一种根据目标减速度执行自动减速控制的流程示意图,如图4所示,该流程可包括如下步骤。
步骤401、判断是否满足智能减速功能开启且驾驶员松开油门踏板,若满足智能减速功能开启且驾驶员松开油门踏板,则执行步骤402;若不满足智能减速功能开启且驾驶员松开油门踏板,重复执行步骤401。
步骤402、根据计算好的目标减速度控制车辆进行减速,或者根据停车标志位控制车辆停止,进入步骤403和步骤406。
步骤403、判断是否满足驾驶员踩下制动踏板,且驾驶员的制动力需求大于制动系统已产生的制动力的第一阈值;若是,则执行步骤404;若驾驶员未踩下制动踏板或驶员的制动力需求小于或等于制动系统已产生的制动力的第一阈值,返回执行步骤402。
步骤404、响应驾驶员对整车的制动力需求,进入步骤406。
步骤405、判断是否满足驾驶员踩下制动踏板,且驾驶员的制动力需求小于制动系统已产生的制动力的第二阈值;若是,则执行步骤402;若驾驶员未踩下制动踏板或驾驶员的制动力需求大于或等于制动系统已产生的制动力的第二阈值,返回执行步骤404。
步骤406、判断是否满足驾驶员踩下油门踏板或关闭智能减速功能,若是,则结束流程;若驾驶员未踩下油门踏板且未关闭智能减速功能,重复执行步骤406。
当不满足判断条件“智能减速功能开启且驾驶员松开油门踏板”(步骤401中“否”)时,持续执行步骤401。
所述的智能减速功能开启,是指驾驶员通过信息娱乐及显示系统211设置智能减速功能为开启状态,且不是所有的工况识别功能都存在上述不可用的情况。所述的驾驶员松开油门踏板,是指VCU201所采集到的油门踏板的开度小于一定值。
当满足判断条件“智能减速功能开启且驾驶员松开油门踏板”(步骤401中“是”)时,持续执行步骤402:根据计算好的目标减速度控制车辆进行减速,或者根据停车标志位控制车辆停止。
所述根据目标减速度控制车辆进行减速,是指减速控制器202收到VCU201所发出的目标减速度时,将目标减速度与车辆的实际减速度进行比较,通过闭环控制的方式计算出减速所需的制动力,再根据VCU201计算出的整车的制动能量回收能力,将所需的制动力分配给液压执行机构205和动力电机207,由于这种解耦式制动系统的分配方式在车上已经应用,在此不再赘述。但强调一点不同的是,在整车的制动能量回收能力允许的情况下,整个减速过程都可以由动力电机207实现,包括停车,以增大电能回收。但由于动力电机207长时间堵转可能造成温升过快,如果出现长时间堵转造成动力电机207温升过快,则需要切换到液压执行结构205来完成减速过程。所述的根据停车标志位控制车辆停止,包括缓慢停车和紧急停车。缓慢停车是指按照一种舒适制动的方式将车停下来,缓慢停车的停车距离应该不能超过上述的Value1。紧急停车是指按照一种较快速的方式迅速将车停下来,紧急停车的停车距离应该不能超过上述的Value,其中Value1应大于Value。
上述的制动力分配功能也可以放在VCU201中完成。减速控制器202只负责控制液压执行机构205。
接下来进入步骤403,当不满足判断条件“驾驶员踩下制动踏板,且驾驶员的制动力需求大于制动系统已产生的制动力的第一阈值”(步骤403中“否”)时,继续持续执行步骤402。
当满足判断条件“驾驶员踩下制动踏板,且驾驶员的制动力需求大于制动系统已产生的制动力的第一阈值”(步骤403中“是”)时,持续执行步骤404:响应驾驶员对整车的制动力需求。
所述驾驶员的制动力需求是指根据制动踏板行程计算的驾驶员需求的制动力,制动系统已产生的制动力是指上述通过减速度闭环计算得到的制动力,此处认为制动系统上产生的实际制动力与需求的制动力一致。
接下来进入步骤405,当不满足判断条件“驾驶员踩下制动踏板,且驾驶员的制动力需求小于制动系统已产生的制动力的第二阈值”(步骤405中“否”)时,继续持续执行步骤404。
当满足判断条件“驾驶员踩下制动踏板,且驾驶员的制动力需求小于制动系统已产生的制动力的第二阈值”(步骤405中“是”)时,重新执行步骤402:根据计算好的目标减速度控制车辆进行减速,或者根据停车标志位控制车辆停止。
在进入步骤402或者步骤404时,进行步骤406的判断,当不满足判断条件“驾驶员踩下油门踏板或关闭智能减速功能”(步骤406中“否”),保持原步骤402或者步骤404,继续进行步骤406的判断。
当满足判断条件“驾驶员踩下油门踏板或关闭智能减速功能”(步骤406中“是”),整个流程结束,并重新开始新一轮流程。
如上所述,在本申请实施例的智能减速控制装置和控制方法中,根据大数据信息终端208,障碍物探测系统209,路网信息系统210,信息娱乐及显示系统211,驾驶员212能够进行环境感知和用户信息获取,并进行多种工况的目标减速度计算,当驾驶员松开油门踏板后,则直接进行液压制动执行机构205和动力电机207的整车自动减速控制。当驾驶员有额外的减速制动需求时,额外的减速需求同样可以得到满足。该功能一方面可以减少驾驶员在一些工况下频繁切换油门踏板和制动踏板所造成的疲劳,另一方面由于该控制系统为解耦式制动系统,在动力电机207和动力电池206的能力允许范围内,可通过能量回收的方式进行减速直至停车,大大提升了整车的经济性,延长了整车的续驶里程。
图5为本申请实施例提供的一种车辆减速控制装置的结构框图,该装置可由软件和/或硬件实现,该装置一般可集成在车辆中,可通过执行车辆减速控制方法来进行车辆减速控制。如图5所示,该装置包括:环境信息获取模块501,设置为获取当前车辆周围的环境信息;当前工况确定模块502,设置为根据所述环境信息确定所述当前车辆所处的当前工况的工况类别;自动减速控制模块503,设置为在检测到驾驶员松开油门踏板后,根据所述当前工况的工况类别和所述驾驶员的驾驶习惯信息对所述当前车辆进行自动减速控制。
本申请实施例中提供的车辆减速控制装置,可以自动根据车辆的周围环境 进行工况类别的识别,进而在检测到驾驶员松开油门踏板后,根据当前工况的工况类别结合驾驶员个人的驾驶习惯,对车辆进行有针对性的个性化自动减速控制,可在不同工况下兼顾驾驶员的驾驶习惯,进行满足驾驶员减速需求的自动减速,有效减少驾驶员频繁踩油门踏板和制动踏板的疲劳,使车辆更加智能化和节能化。
可选的,所述环境信息包括车辆的位置信息、障碍物信息和道路交通信息;所述当前工况的工况类别包括以下至少一项:障碍物减速工况、弯道减速工况、限速减速工况、路口减速工况和坡路减速工况。
可选的,自动减速控制模块503设置为通过如下方式实现:根据所述当前工况的工况类别和所述驾驶员的驾驶习惯信息对所述当前车辆进行自动减速控制的功能:根据所述当前工况的工况类别确定所述当前工况的工况类别对应的减速度计算方式,并根据所述减速度计算方式计算预估减速度;根据所述驾驶员的驾驶习惯信息对所述预估减速度进行修正处理,得到目标减速度;根据所述目标减速度对所述当前车辆进行自动减速控制。
可选的,在所述当前工况的工况类别包括至少两项的情况下,自动减速控制模块503设置为通过如下方式实现:根据所述驾驶员的驾驶习惯信息对所述预估减速度进行修正处理,得到目标减速度的功能:根据所述驾驶员的驾驶习惯信息对所述预估减速度进行修正处理,得到多个修正预估减速度;将多个修正预估减速度中的最大值确定为目标减速度。
可选的,当前工况确定模块502是设置为:检测多个工况识别单元的工作状态;针对处于正常工作状态的每个工况识别单元,从所述环境信息中提取当前工况识别单元对应的待识别信息,并将所述待识别信息输入至所述当前工况识别单元中;根据处于正常工作状态的工况识别单元的输出结果,确定所述当前车辆所处的当前工况类别。
可选的,该装置还包括:信息采集模块,设置为在不同的工况类别下的当前车辆的减速过程中,采集所述驾驶员的操控信息,并将所述操控信息上报至对应的服务器,所述操控信息用于指示所述服务器根据所述操控信息确定所述驾驶员的驾驶习惯信息;信息接收模块,设置为接收所述服务器下发的所述驾驶员的驾驶习惯信息。
可选的,该装置还包括:操控响应模块,设置为在所述根据所述当前工况的工况类别和所述驾驶员的驾驶习惯信息对所述当前车辆进行自动减速控制的过程中,接收所述驾驶员的操控指令,并根据所述操控指令对所述自动减速控制进行调整。
本申请实施例还提供一种包含计算机可执行指令的存储介质,所述计算机可执行指令在由计算机处理器执行时用于执行车辆减速控制方法,该方法包括:获取当前车辆周围的环境信息;根据所述环境信息确定所述当前车辆所处的当前工况的工况类别;在检测到驾驶员松开油门踏板后,根据所述当前工况的工况类别和所述驾驶员的驾驶习惯信息对所述当前车辆进行自动减速控制。
存储介质包括任何类型的存储器设备或存储设备。术语“存储介质”旨在包括:安装介质,例如只读光盘(Compact Disc Read-Only Memory,CD-ROM)、软盘或磁带装置;计算机系统存储器或随机存取存储器,诸如动态随机存取存储器(Dynamic Random Access Memory,DRAM)、双倍数据速率随机存取存储器(Double Data Rate Random Access Memory,DDRRAM)、静态随机存取存储器(Static Random Access Memory,SRAM)、扩展数据输出随机存取存储器(Extended Data Output Random Access Memory,EDORAM),兰巴斯随机存取存储器(Rambus Random Access Memory,Rambus RAM)等;非易失性存储器,诸如闪存、磁介质(例如硬盘或光存储);寄存器或其它相似类型的存储器元件等。存储介质可以还包括其它类型的存储器或其组合。存储介质可以位于执行程序的第一计算机系统中,或者可以位于不同的第二计算机系统中,第二计算机系统通过网络(诸如因特网)连接到第一计算机系统。第二计算机系统可以提供程序指令给第一计算机用于执行。术语“存储介质”可以包括可以驻留在不同位置中(例如在通过网络连接的不同计算机系统中)的两个或更多的存储介质。存储介质可以存储可由一个或多个处理器执行的程序指令(例如实现为计算机程序)。
当然,本申请实施例所提供的一种包含计算机可执行指令的存储介质,计算机可执行指令被执行时,可以实现但不限于如上所述的车辆减速控制操作,还可以实现本申请任意实施例所提供的车辆减速控制方法中的相关操作。
本申请实施例提供了一种车辆,该车辆中可集成本申请实施例提供的车辆减速控制装置。图6为本申请实施例提供的一种车辆的结构框图。车辆600可以包括:存储器601,处理器602及存储在存储器601上并可在处理器运行的计算机程序,所述处理器602执行所述计算机程序时实现如本申请实施例所述的车辆减速控制方法。示例性的,处理器602可以是整车控制器。
本申请实施例提供的车辆,当驾驶员松开油门踏板后,可以自动根据车辆的周围环境进行工况类别的识别,进而根据当前工况的工况类别结合驾驶员个人的驾驶习惯,对车辆进行有针对性的个性化自动减速控制,可在不同工况下兼顾驾驶员的驾驶习惯,进行满足驾驶员的减速需求的自动减速,有效减少驾驶员频繁踩油门踏板和刹车踏板的疲劳,使车辆更加智能化和节能化。
上述实施例中提供的车辆减速控制装置、存储介质以及车辆可执行本申请任意实施例所提供的车辆减速控制方法,具备执行该方法相应的功能模块。未在上述实施例中描述的技术细节,可参见本申请任意实施例所提供的车辆减速控制方法。
Claims (10)
- 一种车辆减速控制方法,包括:获取车辆周围的环境信息;根据所述环境信息确定所述车辆所处的当前工况的工况类别;在检测到驾驶员松开所述车辆的油门踏板后,根据所述当前工况的工况类别和所述驾驶员的驾驶习惯信息对所述车辆进行自动减速控制。
- 根据权利要求1所述的方法,其中,所述环境信息包括车辆的位置信息、障碍物信息和道路交通信息;所述当前工况的工况类别包括以下至少一项:障碍物减速工况、弯道减速工况、限速减速工况、路口减速工况和坡路减速工况。
- 根据权利要求2所述的方法,其中,所述根据所述当前的工况类别和所述驾驶员的驾驶习惯信息对所述车辆进行自动减速控制,包括:根据所述当前工况的工况类别确定所述当前工况的工况类别对应的减速度计算方式,并根据所述减速度计算方式计算预估减速度;根据所述驾驶员的驾驶习惯信息对所述预估减速度进行修正处理,得到目标减速度;根据所述目标减速度对所述车辆进行自动减速控制。
- 根据权利要求3所述的方法,其中,在所述当前工况的工况类别包括所述障碍物减速工况、所述弯道减速工况、所述限速减速工况、所述路口减速工况和所述坡路减速工况中的至少两项的情况下,所述根据所述驾驶员的驾驶习惯信息对所述预估减速度进行修正处理,得到目标减速度,包括:根据所述驾驶员的驾驶习惯信息对所述预估减速度进行修正处理,得到多个修正预估减速度;将所述多个修正预估减速度中的最大值确定为所述目标减速度。
- 根据权利要求1所述的方法,其中,所述根据所述环境信息确定所述车辆所处的当前工况的工况类别,包括:检测多个工况识别单元的工作状态,其中,每个工况识别单元对应一个工况类别;从所述环境信息中提取处于正常工作状态的每个工况识别单元对应的待识别信息,并将所述待识别信息输入至处于正常工作状态的所述每个工况识别单元中;根据处于正常工作状态的所有工况识别单元的输出结果,确定所述车辆所 处的当前工况的工况类别。
- 根据权利要求1所述的方法,还包括:在不同的工况类别下的车辆的减速过程中,采集所述驾驶员的操控信息,并将所述操控信息上报至服务器,所述操控信息用于指示所述服务器根据所述操控信息确定所述驾驶员的驾驶习惯信息;接收所述服务器下发的所述驾驶员的驾驶习惯信息。
- 根据权利要求1-6任一项所述的方法,在所述根据所述当前工况的工况类别和所述驾驶员的驾驶习惯信息对所述车辆进行自动减速控制的过程中,还包括:接收所述驾驶员的操控指令,并根据所述操控指令对所述自动减速控制进行调整。
- 一种车辆减速控制装置,包括:环境信息获取模块,设置为获取车辆周围的环境信息;当前工况确定模块,设置为根据所述环境信息确定所述车辆所处的当前工况的工况类别;自动减速控制模块,设置为在检测到驾驶员松开所述车辆的油门踏板后,根据所述当前工况的工况类别和所述驾驶员的驾驶习惯信息对所述车辆进行自动减速控制。
- 一种计算机可读存储介质,存储有计算机程序,所述程序被处理器执行时实现如权利要求1-7任一项所述的方法。
- 一种车辆,包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序,所述处理器执行所述计算机程序时实现如权利要求1-7任一项所述的方法。
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CN113954829B (zh) * | 2021-11-05 | 2023-03-21 | 东风汽车集团股份有限公司 | 用于驾驶员介入场景的自适应巡航控制方法及装置 |
CN113928282A (zh) * | 2021-11-24 | 2022-01-14 | 扬州大学江都高端装备工程技术研究所 | 融合路面环境和车辆安全模型的辅助巡航主动刹车方法 |
CN115188205A (zh) * | 2022-07-04 | 2022-10-14 | 武汉理工大学 | 一种基于道路信息的汽车行驶工况修正方法 |
CN115188205B (zh) * | 2022-07-04 | 2024-03-29 | 武汉理工大学 | 一种基于道路信息的汽车行驶工况修正方法 |
CN115891943A (zh) * | 2022-11-22 | 2023-04-04 | 中国第一汽车股份有限公司 | 制动踏板控制方法、系统及具有其的车辆 |
FR3142976A1 (fr) * | 2022-12-07 | 2024-06-14 | Psa Automobiles Sa | Procédé et dispositif de contrôle d’un niveau de décélération d’un système de conduite à pédale unique d’un véhicule électrique. |
CN116101071A (zh) * | 2022-12-28 | 2023-05-12 | 小米汽车科技有限公司 | 车辆制动方法、装置、车辆及介质 |
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