Control method and control device for automatic driving of vehicle and vehicle

Abstract

The invention discloses a vehicle automatic driving control method and device and a vehicle, and the method comprises the steps: integrating and cleaning read map navigation information, real-time road condition information and vehicle state information through a data input module according to a driving purpose in a mode of removing noise data and supplementing missing data to obtain preprocessed data; the data processing module reads and calculates the traffic light state, the curve angle, the regenerative braking intensity and the control vehicle speed in automatic driving according to the preprocessed data, converts the data into corresponding control instructions and sends the control instructions to the data output module; and the data output module controls the accelerator actuator, the brake actuator and the steering actuator to act according to the control instruction. The vehicle can be automatically started and stopped when encountering traffic lights in the automatic driving process, the power recovery efficiency is improved, the cruising ability of the vehicle is prolonged, and energy consumption is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of vehicle automatic driving, and specifically relates to a control method, a control device and a vehicle for vehicle automatic driving. Background Art

[0002] In existing technology, autonomous vehicles commonly use adaptive cruise control systems (ACCs). ACC is an intelligent driver-assistance system that automatically adjusts vehicle speed based on the speed of the vehicle ahead to maintain a safe distance. However, traditional ACC systems typically lack the ability to recognize and stop vehicles based on traffic lights. Traffic light recognition requires advanced cameras and image processing technology, as well as precise map data to determine the location of traffic signals. Existing technology lacks the application of this technology in vehicle driving. This results in high energy consumption during autonomous driving, resulting in energy waste.

[0003] A new control method for autonomous vehicle driving is needed to solve the above technical problems. Summary of the Invention

[0004] The purpose of the present invention is to provide a control method for automatic vehicle driving, which is used to solve the technical problems of the inability to stop at traffic lights and energy waste in the prior art.

[0005] Another object of the present invention is to provide a control device that adopts the control method of automatic driving of a vehicle.

[0006] Another object of the present invention is to provide a vehicle.

[0007] The technical solution of the present invention to solve the technical problem is: A method for controlling automatic driving of a vehicle, comprising the following steps: S1: The data input module integrates and cleans the read map navigation information, real-time road condition information, and vehicle status information according to the driving purpose by removing noise data and supplementing missing data to obtain pre-processed data; S2: The data processing module reads and calculates the traffic light status, curve angle, regenerative braking intensity, and controlled vehicle speed during autonomous driving based on the pre-processed data, converts them into corresponding control instructions, and sends them to the data output module; S3: The data output module controls the actions of the throttle actuator, brake actuator, and steering actuator according to the control instructions.

[0008] Preferably, the step S2 is specifically as follows: S2.1: The data processing module reads the traffic light status and curve angle ahead during autonomous driving based on map navigation information and real-time traffic information. S2.2: The data processing module calculates the regenerative braking intensity during the vehicle's deceleration and downhill phases in autonomous driving based on traffic light status and curve angle. S2.3: The data processing module calculates the vehicle's starting speed, acceleration speed, and cruising speed based on map navigation information, real-time traffic information, and vehicle status information; S2.4: The data processing module generates corresponding control instructions based on the traffic light status, curve angle, regenerative braking intensity, vehicle starting speed, acceleration speed, and cruising speed, and sends them to the data output module.

[0009] Preferably, the map navigation information in step S1 is collected through 5G communication and Beidou navigation system; real-time road condition information is obtained by communicating with traffic lights, cameras, and weather stations in roadside units; and vehicle status information is obtained by communicating with the vehicle's control system and power supply system.

[0010] A control device using a control method for automatic vehicle driving, comprising: The data input module is used to integrate and clean the read map navigation information, real-time traffic information, and vehicle status information according to the driving purpose by removing noise data and supplementing missing data to obtain pre-processed data; The data processing module is used to read and calculate the traffic light status, curve angle, regenerative braking intensity, and controlled vehicle speed during autonomous driving based on pre-processed data, convert them into corresponding control instructions, and then send them to the data output module; The data output module controls the actions of the throttle actuator, brake actuator, and steering actuator according to the control instructions.

[0011] Preferably, the map navigation information includes: traffic light location, curve angle, and ramp gradient.

[0012] Preferably, the real-time road condition information includes: traffic flow, speed limit information, ahead obstacles and accident information.

[0013] Preferably, the vehicle status information includes: vehicle current speed information, acceleration information, and battery power information.

[0014] A vehicle adopts a control device for automatic vehicle driving.

[0015] The beneficial effects of the present invention are as follows: a data input module integrates and cleans map navigation information, real-time road condition information, and vehicle status information according to driving objectives by removing noise data and supplementing missing data to obtain preprocessed data; a data processing module reads and calculates traffic light status, curve angle, regenerative braking intensity, and controlled vehicle speed during autonomous driving based on the preprocessed data, converts these into corresponding control instructions, and then sends them to a data output module; the data output module controls the actions of the throttle actuator, brake actuator, and steering actuator based on the control instructions. This allows the vehicle to automatically start and stop at traffic lights during autonomous driving, improving power recovery efficiency, extending vehicle range, and reducing energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 1 is a flow chart of a method for controlling automatic driving of a vehicle according to the present invention; Figure 2 It is a structural schematic diagram of the control device for automatic vehicle driving of the present invention. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention.

[0018] like Figure 1 As shown, the present invention discloses a control method for automatic driving of a vehicle, comprising the following steps: S1: The data input module integrates and cleans the map navigation information, real-time traffic information, and vehicle status information based on driving objectives by removing noise and supplementing missing data to generate preprocessed data. Map navigation information is collected via 5G communications and the Beidou navigation system; real-time traffic information is obtained through communication with traffic lights, cameras, and weather stations in roadside units; and vehicle status information is obtained through communication with the vehicle's control system and power supply system. This multi-source data integration improves the accuracy and real-time nature of driving decisions and provides reliable foundational data for subsequent algorithm logic.

[0019] S2: The data processing module reads and calculates the traffic light status, curve angle, regenerative braking intensity, and controlled vehicle speed in autonomous driving based on the pre-processed data, converts them into corresponding control instructions, and sends them to the data output module.

[0020] Specifically: S2.1: The data processing module reads the status of traffic lights and curve angles ahead during autonomous driving based on map navigation information and real-time traffic information. This enables intelligent prediction of complex driving environments, optimizes vehicle driving strategies in advance, and reduces the impact of emergencies on driving efficiency.

[0021] S2.2: The data processing module calculates the regenerative braking intensity during the vehicle's deceleration and downhill phases in autonomous driving based on traffic light status and curve angle. Especially during deceleration phases (such as approaching traffic lights or curves) and downhill, regenerative braking maximizes energy recovery efficiency, converting gravitational potential energy into electrical energy. This not only significantly improves energy recovery efficiency, but also extends vehicle range and reduces energy waste.

[0022] S2.3: The data processing module calculates the vehicle's starting speed, acceleration speed, and cruising speed based on map navigation information, real-time traffic information, and vehicle status information; Specifically, the starting speed is used to prepare for starting just before the green light comes on, reducing idling time. The acceleration speed is used to properly control acceleration based on the speed limit and the distance to the vehicle ahead, avoiding energy waste. The cruising speed is used to maintain an economical speed on straight or smooth roads. By dividing the speed into stages, refined speed control is achieved, improving driving efficiency and energy utilization.

[0023] S2.4: The data processing module generates corresponding control instructions based on the traffic light status, curve angle, regenerative braking intensity, vehicle starting speed, acceleration speed, and cruising speed, and sends them to the data output module.

[0024] S3: The data output module controls the throttle, brake, and steering actuators according to control commands. This ensures that the driving strategy quickly responds to environmental changes and enhances the overall intelligent driving system.

[0025] A control device using a control method for automatic vehicle driving, comprising: The data input module is used to integrate and clean the read map navigation information, real-time traffic information, and vehicle status information according to the driving purpose by removing noise data and supplementing missing data to obtain pre-processed data; Map navigation information includes traffic light locations, curve angles, and ramp gradients. Real-time road condition information includes traffic flow, speed limits, and information about obstacles and accidents ahead. Vehicle status information includes current speed, acceleration, and battery charge.

[0026] The data processing module is used to read and calculate the traffic light status, curve angle, regenerative braking intensity, and controlled vehicle speed during autonomous driving based on pre-processed data, convert them into corresponding control instructions, and then send them to the data output module; The data output module controls the actions of the throttle actuator, brake actuator, and steering actuator according to the control instructions.

[0027] In actual application, a display module may also be included to display relevant data of the data input module, the data processing module, and the data output module.

[0028] A vehicle adopts a control device for automatic vehicle driving.

[0029] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative work shall fall within the scope of protection of the present invention.

Claims

1. A method for controlling automatic vehicle driving, characterized in that: The following steps are involved: S1: The data input module integrates and cleans the read map navigation information, real-time road condition information, and vehicle status information according to the driving purpose by removing noise data and supplementing missing data to obtain pre-processed data; S2: The data processing module reads and calculates the traffic light status, curve angle, regenerative braking intensity, and controlled vehicle speed during autonomous driving based on the pre-processed data, converts them into corresponding control instructions, and sends them to the data output module; S3: The data output module controls the actions of the throttle actuator, brake actuator, and steering actuator according to the control instructions.

2. A method for controlling automatic vehicle driving, characterized in that: The step S2 is specifically as follows: S2.1: The data processing module reads the traffic light status and curve angle ahead during autonomous driving based on map navigation information and real-time traffic information. S2.2: The data processing module calculates the regenerative braking intensity during the vehicle's deceleration and downhill phases in autonomous driving based on traffic light status and curve angle. S2.3: The data processing module calculates the vehicle's starting speed, acceleration speed, and cruising speed based on map navigation information, real-time traffic information, and vehicle status information; S2.4: The data processing module generates corresponding control instructions based on the traffic light status, curve angle, regenerative braking intensity, vehicle starting speed, acceleration speed, and cruising speed, and sends them to the data output module.

3. A method for controlling automatic vehicle driving, characterized in that: The map navigation information in step S1 is collected through 5G communication and Beidou navigation system; real-time traffic information is obtained by communicating with traffic lights, cameras, and weather stations in roadside units; and vehicle status information is obtained by communicating with the vehicle's control system and power system.

4. A control device using a vehicle automatic driving control method, characterized in that: include: The data input module is used to integrate and clean the read map navigation information, real-time traffic information, and vehicle status information according to the driving purpose by removing noise data and supplementing missing data to obtain pre-processed data; The data processing module is used to read and calculate the traffic light status, curve angle, regenerative braking intensity, and controlled vehicle speed during autonomous driving based on pre-processed data, convert them into corresponding control instructions, and then send them to the data output module; The data output module controls the actions of the throttle actuator, brake actuator, and steering actuator according to the control instructions.

5. The control device using the vehicle automatic driving control method according to claim 4, characterized in that: The map navigation information includes: traffic light location, curve angle, and ramp gradient.

6. The control device using the vehicle automatic driving control method according to claim 4, characterized in that: The real-time traffic information includes: traffic flow, speed limit information, ahead obstacles and accident information.

7. The control device using the vehicle automatic driving control method according to claim 4, characterized in that: The vehicle status information includes: vehicle current speed information, acceleration information, and battery power information.

8. A vehicle, characterized in that: A control device adopting the control method of automatic vehicle driving as described in any one of claims 4 to 7.

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