Emergency Braking Distance Control via Dynamic Setpoint Adjustment
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Solution Overview
Problem
Existing emergency braking systems for vehicles do not adequately account for the characteristics of the vehicle and environmental conditions, leading to inefficient braking and potential collisions, especially when encountering targets with varying behaviors and road conditions.
Innovation Solution
A method and system that control emergency braking distance by generating a variable braking setpoint using a one-dimensional dynamic model, incorporating open-loop and closed-loop corrections, and taking into account the vehicle's acceleration, target acceleration, and environmental factors to optimize stopping distance and prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If maximum braking capability is applied to achieve the shortest stopping distance, then the stopping distance is reduced, but the system fails to account for vehicle characteristics and environmental conditions leading to potential collisions and reduced driver confidence
Solution Approach 1:
The braking force is dynamically adjusted based on real-time conditions including vehicle characteristics (mass, braking capabilities, engine brake) and environmental factors (road gradient, road surface conditions). The system transitions from static maximum braking to dynamic adaptive braking that optimizes stopping distance while ensuring safety margins are maintained under varying operational conditions.
Solution Approach 2:
The system changes the braking parameter (braking force) based on detected vehicle characteristics and environmental conditions. By measuring actual vehicle mass, engine brake contribution, road gradient, and road surface conditions, the system adjusts the braking setpoint to achieve optimal stopping distance while preventing collisions, rather than applying fixed maximum braking.
2Loss of time
If maximum braking is applied regardless of conditions, then stopping distance is minimized, but the system does not adapt to varying vehicle mass, engine brake characteristics, or road conditions
Solution Approach 1:
The system implements feedback mechanisms to detect and measure vehicle characteristics (mass, engine brake contribution) and environmental conditions (road gradient, road surface). This feedback information is used to continuously adjust the braking setpoint, enabling the system to adapt to varying conditions while maintaining optimal stopping performance.
Solution Approach 2:
The system performs preliminary measurements and assessments of vehicle characteristics and environmental conditions before applying braking. By detecting vehicle mass, engine brake capabilities, road gradient, and road surface conditions in advance, the system can pre-calculate the appropriate braking setpoint to achieve optimal stopping distance for the specific conditions.
3Speed
If emergency braking is triggered without considering environmental conditions, then response time is fast, but the braking efficiency is reduced due to lack of optimization for road gradient and surface conditions
Solution Approach 1:
The system performs preliminary detection and assessment of environmental conditions (road gradient, road surface conditions) and vehicle characteristics before initiating braking. This preliminary action enables the system to quickly calculate the optimal braking setpoint specific to the detected conditions, achieving both fast response and optimized braking efficiency without trial-and-error adjustments during the braking process.
Data Source
AI summary
A driver assistance system includes a braking module and a module for controlling emergency braking distance. The braking module is intended to be connected to brakes. The module for controlling braking distance is connected to an output of the braking module.