Motion Manager Correction for Vehicle Load Shift Stability
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Solution Overview
Problem
Existing vehicle motion control systems fail to account for variations in vehicle weight and center of gravity due to cargo and occupant arrangements, leading to unstable traveling states.
Innovation Solution
A motion manager predicts the total weight and position of the vehicle's center of gravity and corrects motion requests to mitigate their influence on vehicle stability, using communication devices, sensors, and actuator systems to adjust braking and driving forces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If motion control requests are generated without considering actual vehicle weight and center of gravity, then the driving support system can operate with simple control logic, but the vehicle traveling state becomes unstable when cargo or occupant arrangements vary
Solution Approach 1:
The motion manager performs preliminary prediction of vehicle total weight and center of gravity position before generating motion control requests. By predicting these parameters in advance based on cargo and occupant information, the system prepares correction values that will be applied when motion requests are generated, ensuring stable traveling state without adding complex real-time processing
Solution Approach 2:
The system implements feedback by using predicted weight and center of gravity information to correct motion control requests. The motion manager continuously monitors the relationship between predicted parameters and actual vehicle state, adjusting motion requests to compensate for variations in cargo and occupant arrangements, thereby maintaining traveling state stability
2Reliability
If the motion manager corrects motion requests based on predicted weight and center of gravity, then the influence of weight variations on vehicle traveling is reduced, but the processing time and computational load increase
Solution Approach 1:
The system performs weight and center of gravity prediction in advance before motion requests are generated. By preparing correction values preliminarily based on cargo and occupant data, the actual motion request correction process is accelerated, reducing real-time processing time while maintaining reliability
Solution Approach 2:
The motion manager changes the parameters used for motion control from fixed nominal values to dynamically predicted values that reflect actual vehicle weight and center of gravity. This parameter adaptation allows the system to account for cargo and occupant variations without requiring complex real-time calculations, thus reducing processing time
Data Source
AI summary
A vehicle includes a driving support system that sets an action plan for driving support of the vehicle, a motion manager including one or more processors that arbitrate a plurality of action plans set by the driving support system, and an actuator system to which a motion request generated using a result of arbitration by the motion manager is distributed. The one or more processors of the motion manager predicts a total weight of the vehicle and a position of a center of gravity of the vehicle, and correct the motion request based on the predicted total weight and the predicted position of the center of gravity.