Vehicle Yaw Control Under Partial Hydroplaning

The patent segments the tire-road interaction into multiple measurement points across the footprint area, using distributed sensors to detect local hydroplaning conditions. This allows the system to identify partial hydroplaning events by comparing grip variations at different locations, thereby improving reliability without requiring a complete system redesign.

The system performs preliminary detection of hydroplaning conditions by continuously monitoring tire footprint characteristics before complete loss of control occurs. By detecting early signs of partial hydroplaning through sensor data analysis, the system can prepare corrective actions in advance, improving reliability while maintaining manageable complexity through proactive rather than reactive control.

The patent implements dynamic torque adjustment where the corrective torque magnitude is continuously adapted based on real-time hydroplaning intensity measurements and vehicle state. The system modulates torque application rates and maximum limits according to current traction conditions, allowing stable correction of hydroplaning while preventing wheel blocking during sudden maneuvers through adaptive control parameters.

The system employs closed-loop feedback by continuously monitoring wheel speed, torque application, and hydroplaning intensity to adjust corrective torque in real-time. When sensors detect approaching wheel blocking conditions, the feedback mechanism automatically reduces torque magnitude or rate of change, thereby maintaining vehicle stability while eliminating the risk of wheel blocking during dynamic recovery maneuvers.

The patent utilizes multi-functional sensors that serve both normal vehicle operation monitoring and hydroplaning detection purposes. The same sensors used for basic tire performance monitoring are leveraged to detect hydroplaning conditions, eliminating the need for dedicated high-power detection hardware and thereby achieving improved measurement precision without proportionally increasing energy consumption.

The system dynamically adjusts monitoring parameters such as sampling frequency and detection thresholds based on vehicle operating conditions. During normal driving, monitoring operates at lower precision with reduced energy consumption. When hydroplaning conditions are suspected or vehicle speed enters critical ranges, the system increases measurement precision and monitoring intensity, optimizing the balance between detection accuracy and energy usage.