Active Suspension Damping Control for Composite Wheel Actions
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Solution Overview
Problem
Existing active suspension systems face challenges in effectively adjusting and controlling damping under diverse wheel actions, leading to inadequate ride comfort and handling performance, especially in composite driving scenarios. Additionally, these systems struggle with data processing complexity and precision, resulting in inefficient adjustments and potential control errors.
Innovation Solution
A wheel action-based active suspension damping adjustment apparatus and method that utilizes sensors and actuators to monitor and adjust damping parameters in real-time. This system determines steering, brake, and obstacle surmounting damping parameters based on wheel actions, and uses feedback from inclination and acceleration sensors to correct total damping, ensuring optimal adjustment and control across various driving conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing active suspension systems use comprehensive sensor monitoring to achieve accurate control, then measurement precision is improved, but device complexity and data processing burden increase significantly
Solution Approach 1:
The patent extracts and focuses only on the most critical wheel action parameters (steering angle, brake force, obstacle interaction) from the comprehensive sensor data, eliminating redundant monitoring while preserving essential control accuracy. This selective extraction reduces data processing complexity without sacrificing measurement precision for the key control decisions.
Solution Approach 2:
The control system is segmented into wheel-action-specific control modules, where each wheel's suspension is controlled independently based on its specific action state (steering, braking, obstacle surmounting). This segmentation allows precise control for each wheel while simplifying the overall system architecture by avoiding the need for complex global coordination of all suspension parameters simultaneously.
2Measurement precision
If existing systems process large volumes of sensor data to achieve comprehensive control, then measurement precision is improved, but response speed deteriorates
Solution Approach 1:
The system extracts only the essential wheel action parameters needed for immediate control decisions, discarding redundant data. This extraction approach maintains sufficient measurement precision for control accuracy while dramatically reducing data processing volume to achieve faster response speeds suitable for real-time suspension adjustment.
Solution Approach 2:
The patent applies partial action by monitoring and processing only the critical subset of sensor data required for each specific wheel action scenario, rather than processing all available sensor data. This partial processing approach provides sufficient precision for effective control while enabling faster response times by avoiding unnecessary data analysis.
3Device complexity
If existing systems use single-scene control strategies to simplify control logic, then device complexity is reduced, but adaptability to composite driving scenarios deteriorates
Solution Approach 1:
The control system dynamically adapts its strategy based on the detected wheel action type. Instead of using a fixed single-scene control logic, the system transitions between different control modes (steering control, braking control, obstacle surmounting control) according to the current wheel action state, achieving high adaptability while maintaining relatively simple control logic for each specific mode.
Solution Approach 2:
The patent applies different control parameters and strategies tailored to each specific wheel action scenario (steering, braking, obstacle interaction). Each wheel receives customized control based on its local action requirements rather than applying a uniform control strategy to all wheels, achieving scenario-specific adaptability while keeping each local control logic relatively simple.
4Device complexity
If existing systems do not consider inter-wheel coordination to simplify control, then device complexity is reduced, but reliability of cooperative control deteriorates
Solution Approach 1:
The control system is segmented into independent wheel-action-based control modules that each handle specific wheel scenarios. This segmentation provides reliability for each individual wheel's control while maintaining overall system simplicity by avoiding complex inter-wheel coordination, as each wheel's control is optimized for its specific action state independently.
Data Source
AI summary
A wheel action-based active suspension damping adjustment apparatus recognizes wheel actions through a steering apparatus, distance measuring apparatuses and force sensors and calculates an action damping magnitude according to damping parameters determined by different wheel actions, thereby achieving optimal adjustment under different actions. The changes in an inclination angle of a vehicle cabin floor and a vertical acceleration are monitored by using an inclination angle sensor and acceleration sensors, and meanwhile, an inclination angle damping and an acceleration damping are determined according to exceeding amplitudes, and a total damping of active suspensions is fed back and corrected, thereby further enhancing an adjustment and control effect of the active suspensions. According to the method, basic damping, action damping, inclination angle damping and acceleration damping data is output and recorded, and classified according to a vehicle state and the wheel actions, data changes under a same classification are compared.