Vehicle Collision Control Using Adaptive Angle and Target Selection
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Solution Overview
Problem
Existing vehicle collision systems fail to effectively manage varying collision angles and targets, leading to inconsistent damage levels to passengers and vehicles, and lack programmable methods to minimize collision impact.
Innovation Solution
A method and system that calculates and adjusts collision parameters in real-time to minimize damage by determining optimal collision angles and targets, assisted by driver input or automated control, using a controller and memory to execute a collision strategy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If the vehicle uses fixed collision parameters, then the system complexity is low, but the collision damage varies significantly with different collision angles and targets
Solution Approach 1:
The patent implements dynamic adjustment of collision parameters including collision angle, collision target selection, and collision timing based on real-time environmental perception and predictive algorithms. The system continuously monitors road conditions, traffic patterns, and vehicle state to adaptively optimize collision parameters, transforming the fixed-parameter approach into a dynamic decision-making system that minimizes collision damage while managing system complexity through modular architecture
Solution Approach 2:
The system changes multiple parameters simultaneously including collision angle (adjusting vehicle trajectory), collision target (selecting different objects to collide with), and collision timing (delaying or accelerating collision execution) to optimize the collision outcome. These parameter changes are coordinated through a centralized control system that evaluates multiple scenarios and selects the optimal combination to minimize damage
2Speed
If the vehicle executes collision strategy automatically, then the response time is reduced, but the driver loses control of the vehicle
Solution Approach 1:
The system implements multi-level feedback mechanisms including driver state monitoring (detecting whether the driver is conscious or unconscious), collision parameter adjustment feedback, and post-collision status feedback. Based on this feedback, the system adaptively changes its control level - providing automatic control when rapid response is critical and maintaining driver control when the driver is capable, thus balancing response speed with driver autonomy
Solution Approach 2:
The system performs preliminary assessments of collision scenarios, pre-calculates optimal collision strategies, and prepares control commands in advance before the actual collision occurs. This preliminary action reduces the critical response time during the actual collision event while still allowing driver intervention if the driver remains conscious and capable during the preparation phase
3Object-affected harmful factors
If the vehicle adjusts collision target and angle dynamically, then the collision damage is minimized, but the control system complexity increases
Solution Approach 1:
The control system is segmented into modular functional units including environmental perception modules, collision prediction modules, strategy optimization modules, and execution control modules. Each module handles specific aspects of the collision adjustment process, allowing independent development, testing, and optimization of individual functions while reducing overall system complexity through clear interface definitions between modules
Data Source
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AI summary
A method and system for reducing collision damage, relating to the field of automobiles, and capable of reducing vehicle collision damage. The method comprises the following steps: when a collision event is certain to occur, calculating in advance a first collision damage degree for a collision target and a collision angle corresponding to a current path; adjusting the collision target and the collision angle when the collision event occurs, calculating a plurality of corresponding collision damage degrees under different collision targets and different collision angles, and determining a second collision damage degree having the smallest collision damage degree among the plurality of collision damage degrees; taking the smaller collision damage degree among the first collision damage degree and the second collision damage degree as an optimal collision damage degree; and when a vehicle collision event occurs, executing a collision strategy corresponding to the optimal collision damage degree.