Anticipative Vehicle Dynamics Control for Evasive Maneuvers
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Solution Overview
Problem
Existing vehicle dynamics controllers intervene either too early or too late in evasive maneuvers, potentially inhibiting the driver's intended steering movement or causing vehicle instability, especially when avoiding obstacles.
Innovation Solution
A vehicle control system that monitors surroundings to assess collision risk, dynamically adjusts control behavior by setting threshold values for sideslip angles and yaw rates based on the situation, allowing for faster lateral movement in critical situations and earlier intervention in less critical ones, with adaptive support for the driver's steering through braking or steering interventions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle dynamics controller intervenes early to ensure stability, then driving safety is improved, but the evasive maneuver speed is reduced
Solution Approach 1:
The control behavior of the vehicle dynamics controller is dynamically adapted based on the assessed collision risk. In critical situations with high collision risk, the controller allows larger sideslip angles and yaw rates to enable faster evasive maneuvers. In less critical situations, the controller intervenes earlier with smaller threshold values to ensure vehicle stability. This dynamic adaptation resolves the contradiction by adjusting control parameters according to real-time situational assessment.
Solution Approach 2:
The invention changes the control parameters (threshold values for sideslip angle and yaw rate) based on the assessed dangerous situation. When collision risk is high, threshold values are increased to allow faster lateral acceleration. When collision risk is low, threshold values are decreased for earlier intervention. This parameter adaptation enables the controller to optimize between safety and maneuver speed depending on the specific situation.
2Speed
If the vehicle dynamics controller allows larger sideslip angles and yaw rates for faster lateral movement, then obstacle avoidance capability is improved, but vehicle stability is reduced
Solution Approach 1:
The controller dynamically adjusts its behavior based on the assessed collision risk. In critical situations where fast lateral movement is necessary, the controller permits larger sideslip angles and yaw rates. In less critical situations, the controller maintains stricter stability control with earlier intervention. This dynamic adaptation allows the system to optimize between speed and stability based on real-time situational assessment.
3Device complexity
If a fixed threshold value is used for controller intervention, then control simplicity is maintained, but adaptability to different driving situations is reduced
Solution Approach 1:
The invention adapts control parameters (threshold values for sideslip angle and yaw rate) based on the assessed dangerous situation. The control unit assesses collision risk using sensor data and dynamically adjusts the threshold values accordingly. This parameter adaptation enables the controller to optimize its behavior for different situations without requiring completely different control systems.
Solution Approach 2:
The control system uses feedback from sensors (distance to obstacle, approach speed, steering angle) to assess the dangerous situation and adjust control behavior accordingly. The control unit continuously monitors the driving situation and adapts the threshold values based on the assessed collision risk, creating a closed-loop system that optimizes performance for each specific situation.
Data Source
Figure 1a~2
AI summary
The invention relates to a method for influencing the transverse dynamics in a vehicle (F) during an evasive maneuver with the aid of a vehicle controller (3) which controls the side-slip angle and/or the yaw rate of the vehicle (F) and triggers an automatic control engagement upon exceeding a predefined threshold value. The travel situation is monitored in respect of an obstacle (H) and different engagements are carried out depending on the classification of the situation. The engagements are optimized in respect of stability and comfort so that an optimal behavior of the vehicle (F) is achieved in every travel situation.