Vehicle Pre-Deviation Control for Crosswind Lane Stability
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Solution Overview
Problem
Existing advanced driver assistance systems (ADAS) struggle to effectively manage unexpected lateral interferences, such as sudden crosswinds or inclined roads, which can cause vehicle deviations and reduce customer satisfaction, potentially leading to safety issues.
Innovation Solution
A lateral interference prevention module that uses a processor and communication interface to obtain and analyze lateral interference-related and vehicle-related information, determining a pre-deviation quantity and path to anticipate and mitigate lateral deviations before they occur.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle maintains a straight path without pre-deviation, then the control system is simple and stable, but the vehicle will experience lateral deviation when encountering lateral interference such as crosswinds or inclined roads
Solution Approach 1:
The control system performs preliminary action by calculating and applying a pre-deviation quantity before the vehicle encounters lateral interference. The system determines interference parameters (such as crosswind strength or road inclination) in advance, computes the required pre-deviation to counteract expected lateral forces, and adjusts the steering accordingly. This proactive approach ensures the vehicle maintains proper lane position despite upcoming disturbances, resolving the contradiction between stability and the need for active compensation.
2Reliability
If the vehicle applies pre-deviation to counteract lateral interference, then the vehicle can maintain lane position, but the control system complexity increases due to need for interference parameter detection and calculation
Solution Approach 1:
The system detects interference parameters (crosswind, road inclination, etc.) in advance using sensors and environmental data. Based on these detected parameters, it calculates the required pre-deviation quantity and applies steering correction before the vehicle actually encounters the lateral interference. This preliminary detection and calculation approach enables accurate lane keeping while managing system complexity through structured parameter processing.
Solution Approach 2:
The control system continuously monitors vehicle position, lateral deviation, and environmental conditions to adjust the pre-deviation calculation. Feedback from lane position sensors and interference detectors allows the system to refine its predictions and corrections in real-time, ensuring accurate lane maintenance while adapting to changing conditions. This closed-loop feedback mechanism manages complexity by using standardized sensor inputs and control algorithms.
3Ease of operation
If the vehicle reacts to lateral interference after it occurs, then the control response is simple, but the vehicle may already be close to lane boundary causing safety issues
Solution Approach 1:
Instead of reacting after lateral interference occurs, the system performs preliminary action by detecting interference parameters in advance (such as upcoming crosswinds or inclined road sections) and applying pre-deviation correction before the vehicle reaches the interference zone. This proactive control approach prevents lateral deviation from occurring in the first place, eliminating safety risks while maintaining relatively simple control logic through pre-computed corrections.
Solution Approach 2:
The system applies preliminary anti-action by calculating the expected lateral force from upcoming interference and applying an equal and opposite pre-deviation to counteract it. For example, if a crosswind from the right is detected ahead, the system steers slightly left in advance to compensate. This preliminary counter-action neutralizes the harmful effect before it can cause dangerous lane departure, resolving the contradiction between simple response and safety.
Data Source
AI summary
A lateral interference prevention module includes a memory, a processor, and a communication interface configured to be communicatively connected to a related system of a vehicle. This module is configured to obtain lateral interference-related information and vehicle-related information, determine a pre-deviation direction based on direction information of a lateral interference, and obtain a pre-deviation quantity by querying a comparison table or calculation based on parameter information of the lateral interference and the vehicle-related information. The table reflects correspondence between the parameter information of the lateral interference or a lateral acting force calculated from the parameter information, speed of the vehicle, and the pre-deviation quantity. The calculation calculates the pre-deviation quantity based on the lateral acting force, and plans a pre-deviation path, based on the pre-deviation quantity and the pre-deviation direction, including determining a starting distance from a position of the lateral interference and a deviation trajectory within the starting distance.