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CN-122009146-A - Driving assistance method, device and equipment

CN122009146ACN 122009146 ACN122009146 ACN 122009146ACN-122009146-A

Abstract

The embodiment of the invention relates to a driving assisting method, a device and equipment, which can realize the detection array of wind pressure on an intelligent surface of an automobile and the correction and compensation of intelligent driving on the intelligent surface, so that a vehicle body is kept in a stable state, and a driver can know the wind direction/wind pressure change of an external environment of the automobile in time, so that intervention or stopping driving is adopted when the situation is worsened, the driving safety is ensured, and the rapid speed fluctuation caused by the increase of the wind resistance in front is avoided through the automatic correction of intelligent driving, thereby reducing the energy consumption and improving the driving endurance.

Inventors

  • TANG CHUANPU

Assignees

  • 惠州市德赛西威汽车电子股份有限公司

Dates

Publication Date
20260512
Application Date
20251128

Claims (10)

  1. 1. A driving assistance method, characterized in that the method comprises: Collecting wind pressure array data of any one surface or a plurality of surfaces of a vehicle in real time; converting the wind pressure array data into a point cloud image, and calculating vector wind resistance of the vehicle according to the point cloud image; according to the vector wind resistance, calculating and obtaining a target compensation value through a preset vehicle power mode; And adjusting the driving assistance of the vehicle according to the target compensation value.
  2. 2. The driving assistance method according to claim 1, wherein the wind pressure array data is acquired by wind pressure sensors provided at any one or more of a front surface, a rear surface, a left surface, a right surface, an upper surface, and a lower surface of the vehicle.
  3. 3. The driving assistance method according to claim 2, characterized by converting the wind pressure array data into a point cloud image, and calculating vector windage of the vehicle from the point cloud image, specifically comprising: The pressure value, the normal vector and the infinitesimal area of each wind pressure sensor are obtained, and a single-point stress vector is obtained through calculation according to the pressure value, the normal vector and the infinitesimal area; obtaining a plurality of single-point stress vectors, and summing the plurality of single-point stress vectors to obtain vector windage, wherein the vector windage comprises longitudinal windage, lateral windage and vertical windage.
  4. 4. A driving assistance method as claimed in claim 3, wherein said target compensation value includes at least any one or more of a power output compensation value, a yaw angle compensation value.
  5. 5. The driving assistance method according to claim 4, characterized in that the calculation of the target compensation value by a preset vehicle power mode according to the vector windage, specifically, includes: the wind resistance acceleration is obtained through the longitudinal wind resistance of the vector wind resistance; And obtaining a power output compensation value by calculating the opposite number of wind resistance acceleration, wherein the target compensation value is the power output compensation value.
  6. 6. The driving assistance method according to claim 5, characterized in that the adjustment of the driving assistance of the vehicle according to the target compensation value specifically includes: and judging whether the wind resistance acceleration exceeds a preset first safety threshold value, if so, adjusting the power output of the vehicle through the power output compensation value, otherwise, not processing.
  7. 7. The driving assistance method according to claim 4, characterized in that the calculation of the target compensation value by a preset vehicle power mode according to the vector windage, specifically, includes: Acquiring and obtaining the front wheel cornering stiffness Cf, the wheelbase L, the distance a between a front axle and a mass center, the wind resistance lateral force acting height dy, the longitudinal wind resistance Fmx and the lateral wind resistance Fmy of the vehicle; Obtaining lateral force compensation by calculation of formula (-Fmy)/(2×cf); Calculating by the formula (Fmy x dy)/(2 x Cf a+ (-Fmx) x L/2) to obtain yaw moment compensation; Obtaining an angle change value by calculating the sum of lateral force compensation and yaw moment compensation; Wherein the target compensation value is an angle change value.
  8. 8. The driving assistance method according to claim 7, characterized in that the adjustment of the driving assistance of the vehicle according to the target compensation value specifically includes: And judging whether the angle change value exceeds a preset second safety threshold value, if so, adjusting the running angle of the vehicle through the angle change value, otherwise, not processing.
  9. 9. A driving assistance apparatus, characterized in that the apparatus comprises: the data acquisition module is used for acquiring wind pressure array data of any one surface or a plurality of surfaces of the vehicle in real time; The data processing module is used for converting the wind pressure array data into a point cloud image and calculating the vector wind resistance of the vehicle according to the point cloud image; The compensation calculation module is used for calculating and obtaining a target compensation value according to the vector wind resistance through a preset vehicle power mode; And the adjusting module is used for adjusting the driving assistance of the vehicle according to the target compensation value.
  10. 10. The driving assistance device is characterized by comprising a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus; The memory is configured to store at least one executable instruction that causes the processor to perform the operations of the driving assistance method according to any one of claims 1 to 8.

Description

Driving assistance method, device and equipment Technical Field The embodiment of the invention relates to the technical field of automobile electronics, in particular to a driving assistance method, a driving assistance device and driving assistance equipment. Background In the technical field of modern automobiles, the sensing function of the intelligent surface is increasingly rich, and various technologies such as touch sensing, proximity sensing, force feedback, ambient light sensing, biological recognition, gesture recognition, state monitoring and health analysis are covered, and are widely applied to automobile interiors and control interfaces so as to improve the interaction experience and safety of vehicles. Meanwhile, the intelligent driving system relies on sensors such as cameras and radars to collect external environment information in real time, and the intelligent driving system is used for adjusting driving strategies and states and achieving an automatic driving function. However, these conventional sensing means still have difficulty in recognition in some complex scenes, and in particular cannot effectively influence dynamic aerodynamic changes. During driving, automobiles often face significant challenges in windage, including strong longitudinal winds from the front and crosswinds from the sides. The crosswind may be generated by natural strong wind or instantaneous strong wind caused by high-speed passing of large-sized vehicles on the side, and the factors can disturb the running stability of the vehicles, so that sideslip or deviation is caused, the safety risk is greatly increased, and the longitudinal strong wind can cause fluctuation of a power system, so that the problems of unstable vehicle speed, increased energy consumption and the like are caused. The existing intelligent driving system is mainly based on vision and distance sensing data, lacks of real-time monitoring capability on air flow, cannot timely adjust speed or direction control angle to offset wind resistance interference, limits performance and reliability of the system in severe weather or under complex road conditions, and needs an innovative solution capable of integrating aerodynamic sensing to make up for the deficiency. Disclosure of Invention In view of the above problems, the present disclosure provides a driving assistance method, apparatus, and device, which are used to solve the problem that the existing intelligent driving system is mainly based on visual and distance sensing data, lacks the capability of monitoring air flow in real time, and therefore cannot adjust speed or direction control angle in time to counteract wind resistance interference. According to an aspect of an example of the present invention, there is provided a driving assistance method including: Collecting wind pressure array data of any one surface or a plurality of surfaces of a vehicle in real time; converting the wind pressure array data into a point cloud image, and calculating vector wind resistance of the vehicle according to the point cloud image; according to the vector wind resistance, calculating and obtaining a target compensation value through a preset vehicle power mode; And adjusting the driving assistance of the vehicle according to the target compensation value. In some alternative embodiments, the wind pressure array data is collected by wind pressure sensors disposed at any one or more of a front surface, a rear surface, a left surface, a right surface, an upper surface, and a lower surface of the vehicle. In some optional embodiments, the wind pressure array data is converted into a point cloud image, and vector wind resistance of the vehicle is calculated according to the point cloud image, which specifically includes: The pressure value, the normal vector and the infinitesimal area of each wind pressure sensor are obtained, and a single-point stress vector is obtained through calculation according to the pressure value, the normal vector and the infinitesimal area; obtaining a plurality of single-point stress vectors, and summing the plurality of single-point stress vectors to obtain vector windage, wherein the vector windage comprises longitudinal windage, lateral windage and vertical windage. In some alternative embodiments, the target compensation value includes at least any one or more of a power output compensation value, a deflection angle compensation value. In some optional embodiments, calculating, according to the vector wind resistance, a target compensation value through a preset vehicle power mode specifically includes: the wind resistance acceleration is obtained through the longitudinal wind resistance of the vector wind resistance; And obtaining a power output compensation value by calculating the opposite number of wind resistance acceleration, wherein the target compensation value is the power output compensation value. In some optional embodiments, adjusting the driving assistance of the v