An Automatic Emergency Braking Control Method for Improving Ride Comfort

The contribution of this paper is to present an automatic emergency braking (AEB) optimized algorithm based on time to collision (TTC) and a professional driver fitting (PDF) braking pattern. When the TTC value is less than the given threshold, the PDF control algorithm will be started, and vice ver...

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Bibliographic Details
Published in:World electric vehicle journal 2024-06, Vol.15 (6), p.259
Main Authors: Lai, Fei, Liu, Junbo, Hu, Yuanzhi
Format: Article
Language:English
Subjects:
Algorithms
automatic emergency braking
Automobiles
Braking
Collision avoidance
Collisions
Commercial vehicles
Control algorithms
Control methods
Control theory
Design
Passenger comfort
Passengers
professional driver fitting
ride comfort
Simulation analysis
time to collision
Traffic accidents & safety
Vehicles
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Summary:The contribution of this paper is to present an automatic emergency braking (AEB) optimized algorithm based on time to collision (TTC) and a professional driver fitting (PDF) braking pattern. When the TTC value is less than the given threshold, the PDF control algorithm will be started, and vice versa. According to the standard test scenarios for passenger cars and commercial vehicles, the simulation analysis on the AEB systems using four different control algorithms, namely TTC, quadratic curve deceleration, PDF and proposed optimized control algorithm, is conducted, respectively. The results show that the proposed optimization algorithm can both meet the standard requirements and improve the ride comfort. While ensuring collision avoidance with the preceding vehicle, the control algorithm proposed in this study offers better braking comfort compared to the TTC algorithm and the quadratic curve deceleration algorithm. Additionally, it provides a more appropriate stopping distance compared to the PDF algorithm.
ISSN:2032-6653
DOI:10.3390/wevj15060259