Predictive Wheel Camber and Caster Control for Autonomous Cornering
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Solution Overview
Problem
Existing autonomous vehicles lack the ability to dynamically adjust wheel camber and caster angles in response to vehicle dynamics, leading to potential inefficiencies in cornering performance and collision avoidance.
Innovation Solution
An autonomous vehicle equipped with a vehicle dynamics prediction module that generates control signals to adjust camber and caster angles using actuators, allowing for pre-emptive adjustments based on predicted cornering forces and road conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wheel camber and caster angles are fixed, then vehicle structure is simple and reliable, but cornering performance and collision avoidance capability are insufficient
Solution Approach 1:
The patent implements dynamic adjustment of wheel camber and caster angles through actuators (electric motors, hydraulic cylinders, or pneumatic actuators) that modify wheel geometry in real-time based on vehicle dynamics conditions, transforming the static wheel geometry system into a dynamic one that adapts to cornering forces and road conditions
Solution Approach 2:
The vehicle dynamics prediction module predicts upcoming cornering forces and road conditions in advance, allowing the wheel geometry adjustment mechanism to proactively modify camber and caster angles before the vehicle actually encounters the cornering situation, optimizing performance preemptively rather than reactively
2Device complexity
If reactive mechanical systems are used to adjust wheel camber, then device complexity is reduced, but lag time increases limiting system efficacy
Solution Approach 1:
The vehicle dynamics prediction module forecasts upcoming cornering forces and road conditions before they occur, enabling the control system to initiate wheel geometry adjustments in advance, thereby eliminating the lag time inherent in reactive systems and ensuring optimal wheel alignment is achieved before cornering events
Solution Approach 2:
The patent replaces traditional reactive mechanical adjustment systems with a prediction-based control system that uses sensors, processors, and actuators to proactively adjust wheel geometry, substituting mechanical reactivity with electronic prediction and control to eliminate adjustment delays
Data Source
AI summary
An autonomous vehicle comprises a chassis, a plurality of wheels rotationally mounted to the chassis, wherein each wheel is characterized by a camber angle and a caster angle. The vehicle includes a vehicle dynamics prediction module for predicting a vehicle dynamics condition and for generating a control signal based on the vehicle dynamics condition and a wheel geometry adjustment mechanism connected to each of the wheels for automatically adjusting one or both of the camber angle and the caster angle in response to the control signal.


