Torque Vectoring Control for Road Disturbance Mitigation
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Solution Overview
Problem
Vehicles experience discomfort due to road disturbances like bumps and potholes, as existing technologies fail to effectively mitigate the sharp motion caused by torque application over these disturbances, leading to a less than ideal riding experience.
Innovation Solution
Implementing a torque vectoring control system that uses exterior sensors to detect road disturbances, estimate the time of impact, and adjust torque distribution between vehicle axles to reduce torque application during traversal, thereby enhancing ride comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If torque is applied to the vehicle during traversal over road disturbances, then vehicle propulsion is maintained, but sharp motion and ride discomfort occur
Solution Approach 1:
The system performs preliminary detection of road disturbances using exterior sensors (cameras, radar, LIDAR) before the vehicle reaches them. It estimates the time until impact and proactively adjusts torque distribution to bias away from axles that will traverse the disturbance, preventing sharp motion before it occurs while maintaining overall propulsion through other axles
Solution Approach 2:
The torque distribution between axles is dynamically adjusted based on real-time detection of road disturbances and estimated time of impact. The system continuously modifies torque bias away from axles approaching disturbances and restores normal distribution after traversal, enabling adaptive propulsion that avoids sharp motion while maintaining vehicle power
2Object-affected harmful factors
If torque distribution is dynamically adjusted to mitigate road disturbances, then ride comfort is improved, but system complexity increases
Solution Approach 1:
The torque vectoring control system integrates multiple functions into a unified control architecture: exterior sensor data processing, road disturbance detection, time of impact estimation, torque distribution calculation, and execution control. This multi-functional integration manages system complexity by coordinating diverse subsystems through a single control framework that improves ride comfort
Data Source
AI summary
Systems and methods for road disturbance detection and torque vectoring control. A vehicle may comprise: a torque vectoring system for independently varying torque to a plurality of wheels, an external sensor suite, and an electronic control unit. The control unit may comprise one or more processors and memory storing executable instructions that, as a result of execution by the one or more processors, cause the one or more processors to implement an appropriate torque vectoring strategy. The torque vectoring strategy may comprise biasing torque towards or away from a wheel/motor/axle.