Autonomous Vehicle Wind Compensation for Side-Wind Stability
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Solution Overview
Problem
Existing systems for compensating side wind effects on vehicles, particularly heavy-duty vehicles, fail to provide complete compensation, leading to lurching or quivering, which affects driving efficiency and safety, especially during maneuvers, and require human intervention.
Innovation Solution
A system comprising a data collection module, assessment module, and compensation module that utilizes vehicle sensors, communication interfaces, and external data sources to provide real-time wind situation assessment and adaptive compensation support for autonomous driving systems, including feed-forward and feedback control schemes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing wind compensation systems are used, then some wind effects are compensated, but complete compensation is not achieved and vehicle lurching or quivering occurs
Solution Approach 1:
The system segments wind compensation into multiple independent modules: a data collection module that gathers wind information from various sources, an assessment module that evaluates wind situation, and a compensation module that generates correction commands. This segmentation allows each module to specialize in specific tasks, improving overall compensation effectiveness while maintaining system manageability.
Solution Approach 2:
The system performs preliminary wind assessment and compensation planning before the vehicle encounters significant wind disturbances. By collecting wind data from multiple sources and assessing potential wind situations in advance, the system can prepare compensation strategies proactively, reducing reactive adjustments that cause vehicle lurching.
Solution Approach 3:
The system implements continuous feedback loops where the assessment module monitors actual wind conditions and vehicle response, then feeds this information back to adjust compensation commands. This closed-loop feedback enables real-time optimization of compensation effectiveness while minimizing destabilizing adjustments.
2Measurement precision
If more sensors and data sources are integrated, then wind detection accuracy improves, but system complexity increases
Solution Approach 1:
The system employs multi-functional data collection that utilizes existing vehicle sensors for multiple purposes. For example, sensors originally designed for other vehicle functions are repurposed to detect wind conditions, eliminating the need for dedicated wind sensors and reducing overall system complexity while maintaining measurement precision.
Solution Approach 2:
The system merges wind data collection with existing vehicle communication interfaces and sensor networks. By integrating wind assessment functionality into already-present systems rather than adding separate dedicated systems, the patent reduces structural complexity while achieving comprehensive wind detection capability.
3Reliability
If real-time wind compensation is implemented, then driving safety improves, but computational load and response time requirements increase
Solution Approach 1:
The system performs preliminary wind assessment and compensation strategy formulation before critical wind events occur. By pre-processing wind data and preparing compensation commands in advance, the system reduces the computational burden during real-time critical moments, enabling safe response without excessive complexity.
Solution Approach 2:
The control system is segmented into distinct functional modules that can operate semi-independently. This segmentation allows distributed computational processing across multiple units, reducing the computational load on any single processor while maintaining real-time safety responses through coordinated module operation.
Data Source
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AI summary
A system (100) for supporting wind detection and compensation in a vehicle (50) with a driving automation system (200), wherein the vehicle comprises a communication interface (300) for sending and receiving communication data, comprises a data collection module (110), configured to collect data, from the driving automation system and via the communication interface, about a wind situation at a current or anticipated location of the vehicle. The system further comprises an assessment module (120), configured to assess the wind situation, and a compensation module (130), configured to provide, on the basis of the wind situation, a compensation support for the driving automation system (200).