Integrated Chassis Control for Yaw Rate Stability
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Solution Overview
Problem
Current electronic stability control systems in vehicles often struggle to effectively manage chassis stability, particularly in situations where there is a deviation between intended and actual yaw rates, leading to loss of directional control.
Innovation Solution
An integrated chassis control system that coordinates all vehicle actuators, including suspension, steering, propulsion, and braking, through a centralized control unit, determining motion plans and actuator commands to minimize disparities in yaw rates and maintain vehicle controllability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If electronic stability control systems apply braking at individual wheels to counteract yaw rate deviation, then vehicle directional stability is improved, but the system complexity and response time increase
Solution Approach 1:
The control system is segmented into multiple independent control modules, each responsible for specific actuators (steering, suspension, propulsion, braking). This modular architecture allows each module to operate semi-autonomously, reducing the complexity burden on the central controller while maintaining coordinated control across all chassis systems.
Solution Approach 2:
The electronic stability control system is designed to perform multiple functions beyond just yaw rate correction, including steering control, suspension management, propulsion control, and braking control. This multi-functionality allows a single integrated system to address various chassis stability issues simultaneously, improving overall vehicle controllability without proportionally increasing system complexity.
2Adaptability or versatility
If electronic stability control systems use centralized coordination of all chassis actuators, then vehicle controllability is improved, but the computational load and control precision requirements increase
Solution Approach 1:
Each actuator control module operates with localized decision-making capabilities, processing sensor data and generating control commands independently based on local conditions. This distributed intelligence approach reduces the computational burden on the central system while maintaining high control precision through localized feedback loops and actuator-specific optimization.
Solution Approach 2:
The control system pre-calculates optimal actuator coordination strategies and stores them as lookup tables or pre-computed solutions for common driving scenarios. When stability issues arise, the system retrieves and adapts these pre-computed solutions rather than calculating from scratch, reducing real-time computational requirements while maintaining high control precision.
3Reliability
If the system adapts to changing actuator availability, then system reliability is improved, but the control strategy complexity increases
Solution Approach 1:
The control system dynamically reconfigures its architecture based on actuator availability. When actuators fail or become unavailable, the system automatically redistributes control functions among remaining healthy actuators, adjusting control strategies in real-time. This dynamic adaptability ensures continuous operation and maintains reliability without requiring complex manual intervention or system redesign.
Data Source
AI summary
A control system for a vehicle includes a plurality of vehicle actuators that are operable to affect actual chassis-level accelerations, a vehicle intelligence unit that determines a motion plan, a vehicle motion control unit that determines a chassis-level motion request based on the motion plan, and a chassis control unit that determines actuator commands for the plurality of vehicle actuators based on the chassis-level motion request and actuator identity information that describes presently available actuators from the plurality of vehicle actuators.