Vehicle Occupant Protection Control Using Multi-Mass Point Modeling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle occupant protection systems struggle to accurately describe and manage complex accident scenarios, leading to inadequate protection during real-world collisions, as they rely on simplified models that fail to account for varying occupant characteristics and dynamic forces during accidents.
Innovation Solution
A method using a complex occupant model represented by multiple mass points, processed with vehicle acceleration data to determine motion parameters, enabling precise control of restraint components like safety belts and airbags, and adaptive adjustment of restraint forces to optimize occupant safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If simplified occupant models are used in current protection systems, then device complexity is reduced, but measurement precision and reliability of accident scenario description deteriorate
Solution Approach 1:
The occupant model is segmented into multiple mass points (at least two, preferably three) representing different body regions (head, torso, pelvis). This segmentation allows the system to capture complex motion patterns and loading scenarios while maintaining computational efficiency. Each mass point can be independently tracked and protected, resolving the contradiction between model simplicity and accuracy.
2Reliability
If complex occupant models with multiple mass points are used, then measurement precision and reliability of accident scenario description are improved, but device complexity increases
Solution Approach 1:
The system dynamically adapts the level of model complexity based on the accident scenario. The control device processes acceleration data and selectively activates appropriate mass points and protection measures. This dynamic approach allows high reliability in complex scenarios while maintaining manageable system complexity through conditional activation of model elements.
Solution Approach 2:
The system changes parameters (acceleration values, model parameters) in real-time based on detected accident conditions. By monitoring acceleration thresholds and adjusting which mass points are active, the system achieves high reliability when needed while keeping the control structure manageable through parameter-based activation rather than permanently complex hardware.
3Productivity
If pyrotechnic belt tensioning is activated to couple occupants early to vehicle deceleration, then productivity of protection response is improved, but object-affected harmful factors increase due to strong loads on passengers
Solution Approach 1:
The system applies different protection qualities to different body regions (mass points). By identifying which mass points experience the most severe loading through the multi-point model, the system can apply pyrotechnic tensioning selectively to those regions while providing softer, more gradual restraint to other areas. This local differentiation reduces peak loads on vulnerable regions like the head and thorax while maintaining rapid response where needed.
Data Source
AI summary
A method for controlling an occupant protection system of a vehicle includes reading in at least one vehicle acceleration value representing an acceleration of the vehicle and at least one model parameter of an occupant model by which a vehicle occupant is represented by at least two, in particular three, mass points. The vehicle acceleration value and the model parameter are processed in order to determine at least one motion parameter relating to the two, in particular three, mass points. Using the motion parameter, a control signal for controlling the occupant protection system is produced.