This content is not included in your SAE MOBILUS subscription, or you are not logged in.
A Study on Automatic Emergency Braking Control Algorithm Based on Professional Drivers’ Braking Behavior
ISSN: 2574-0741, e-ISSN: 2574-075X
Published July 07, 2022 by SAE International in United States
Citation: Lai, F. and Huang, C., "A Study on Automatic Emergency Braking Control Algorithm Based on Professional Drivers’ Braking Behavior," SAE Intl. J CAV 6(2):139-154, 2023, https://doi.org/10.4271/12-06-02-0009.
An automatic emergency braking (AEB) adaptive control algorithm based on the emergency braking behavior of professional drivers fitting (PDF) model is proposed, which can simultaneously take into account safety and ride comfort on different friction roads. Three typical AEB control algorithms are selected for comparative analysis, namely, AEB control algorithms based on the safety distance (SD) model, time-to-collision (TTC) model, and PDF model, respectively. The simulation results of the European New Car Assessment Programme (Euro-NCAP) test scenarios show that the AEB control algorithm based on the PDF model can ensure both safety and ride comfort. In order to overcome the defect that the original AEB control algorithm based on the PDF model does not consider the variation of road friction, the corresponding optimization and improvement are carried out. The optimized AEB control algorithm based on the PDF model can adapt to different friction roads; therefore, the vehicle safety has been improved. The proposed optimization algorithm has also been validated through the co-simulation of MATLAB/Simulink and Prescan.