Vehicle Wind Compensation for Trajectory and Route Control
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Solution Overview
Problem
Environmental factors such as wind affect the operation and energy efficiency of vehicles, leading to inefficiencies in trajectory and energy usage during navigation.
Innovation Solution
A vehicle system that utilizes sensors to capture wind data, adjusts vehicle configuration, and determines optimal routes and maneuvers to compensate for wind, including adjusting suspension settings and orienting the vehicle to minimize wind impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle follows a reference trajectory without wind compensation, then the navigation path is simple and direct, but the vehicle trajectory deviates due to wind affecting the immediate path
Solution Approach 1:
The system performs preliminary wind assessment by analyzing environmental data and historical wind patterns before the vehicle departs. This advance preparation allows the planning system to pre-calculate compensated trajectories that account for expected wind conditions, ensuring accurate navigation without requiring complex real-time control adjustments during vehicle operation.
2Use of energy by moving object
If the vehicle adjusts configuration and orientation to compensate for wind, then energy efficiency improves, but the control system complexity increases
Solution Approach 1:
The system dynamically adjusts vehicle configuration parameters such as suspension settings and aerodynamic elements based on real-time wind data. The vehicle's orientation and body angle are continuously optimized in response to changing wind conditions, allowing the system to maintain energy efficiency through adaptive control rather than fixed configurations.
Solution Approach 2:
The system changes physical parameters of the vehicle including suspension stiffness, body orientation angle, and aerodynamic profile in response to wind conditions. By dynamically modifying these parameters, the vehicle optimizes its energy consumption while navigating through varying wind environments without requiring overly complex control mechanisms.
3Productivity
If real-time wind data is used for route optimization, then energy efficiency and safety improve, but the system complexity and computational requirements increase
Solution Approach 1:
The system implements a feedback mechanism where wind sensors continuously monitor environmental conditions and provide real-time data to the control system. This feedback loop allows the vehicle to adjust its trajectory and configuration dynamically, optimizing energy efficiency and safety while maintaining manageable system complexity through iterative refinement rather than complex predictive modeling.
Data Source
AI summary
Techniques for determining environmental data of an environment associated with a vehicle are discussed herein. The vehicle can use the data to determine a vehicle configuration data, a trajectory for the vehicle to traverse, a route to a destination, or orientation for ingress/egress. The vehicle can determine control data based on the vehicle configuration data, the trajectory, or the route. The vehicle configuration data may be associated with a setting of a suspension component, a speed, or other component. The trajectory may be biased based on a source of the wind. The route may be selected from a first candidate route and a second candidate route using a first wind score associated with the first candidate route and a second score associated with the second candidate route. The vehicle can use a sensor, such as a wind sensor, to capture or otherwise determine the wind data.


