Vehicle Driving Dynamics Controller Torque Adaptation
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Solution Overview
Problem
Existing vehicle systems fail to effectively adapt driving dynamics to changing road conditions, particularly for inexperienced drivers, leading to potential loss of control due to varying wheel grip.
Innovation Solution
A method and controller that adjust torque at individual wheels to generate corrective yawing moments and adapt drive torque based on real-time road state information, allowing for automatic selection of driving dynamics modes to prevent wheel traction loss and maintain stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If driving dynamics are restricted to prevent loss of control, then vehicle safety is improved, but driving performance and freedom are reduced
Solution Approach 1:
The system dynamically adjusts driving dynamics parameters based on detected road conditions. When slippery road surfaces are detected, the system automatically modifies torque distribution, braking interventions, and stability control thresholds to match the reduced friction conditions, allowing the vehicle to adapt its behavior rather than applying fixed restrictive limits
Solution Approach 2:
The system changes operational parameters such as torque limits, braking force thresholds, and stability intervention levels based on detected road surface conditions. By continuously monitoring wheel slip, lateral acceleration, and other dynamic parameters, the system adjusts these values to prevent both over-restriction on good surfaces and loss of control on slippery surfaces
2Device complexity
If fixed parameters are used for driving dynamics control, then system complexity is reduced, but adaptability to changing road conditions deteriorates
Solution Approach 1:
The system uses the vehicle's existing sensors (wheel speed sensors, inertial measurement unit, brake pressure sensors) to automatically detect road surface conditions and self-adjust driving dynamics parameters without requiring external input or complex manual intervention. The control system serves itself by using its own operational data to determine appropriate parameter adjustments
Solution Approach 2:
The system continuously monitors wheel slip ratios, lateral acceleration, and brake interventions to detect changes in road surface friction. This feedback loop allows the system to identify slippery conditions and automatically adjust control parameters in real-time, creating a closed-loop adaptive control system that responds to changing conditions
3Stability of the object's composition
If automated control of brakes and drive torque is implemented, then driving dynamics stability is improved, but driver control and freedom are reduced
Solution Approach 1:
The system applies preliminary corrective actions by detecting early signs of loss of control (increasing wheel slip, abnormal lateral acceleration) and automatically applying brake torque or reducing drive torque before the vehicle actually skids or becomes unstable. This preventive approach maintains stability while minimizing the need for aggressive driver intervention
Data Source
AI summary
A method for influencing driving dynamics of a vehicle, in which the driving dynamics are influenced as a function of parameters allocated to a selected driving dynamics mode when the driving dynamics mode is activated, and the driving dynamics are influenced as a function of road state information representing a road state in the region of the vehicle when an automatic mode is activated.