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Article

Research on Vehicle AEB Control Strategy Based on Safety Time–Safety Distance Fusion Algorithm

1
Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China
2
Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan 430070, China
3
Hubei Research Center for New Energy & Intelligent Connected Vehicle, Wuhan University of Technology, Wuhan 430070, China
4
School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China
*
Author to whom correspondence should be addressed.
Submission received: 27 May 2024 / Revised: 14 June 2024 / Accepted: 17 June 2024 / Published: 19 June 2024
(This article belongs to the Special Issue Modeling, Optimization and Control of Industrial Processes)

Abstract

With the increasing consumer focus on automotive safety, Autonomous Emergency Braking (AEB) systems, recognized as effective active safety technologies for collision avoidance and the mitigation of collision-related injuries, are gaining wider application in the automotive industry. To address the issues of the insufficient working reliability of AEB systems and their unsatisfactory level of accordance with the psychological expectations of drivers, this study proposes an optimized second-order Time to Collision (TTC) safety time algorithm based on the motion state of the preceding vehicle. Additionally, the study introduces a safety distance algorithm derived from an analysis of the braking process of the main vehicle. The safety time algorithm focusing on comfort and the safety distance algorithm focusing on safety are effectively integrated in the time domain and the space domain to obtain the safety time–safety distance fusion algorithm. A MATLAB/Simulink–Carsim joint simulation platform has been established to validate the AEB control strategy in terms of safety, comfort, and system responsiveness. The simulation results show that the proposed safety time–safety distance fusion algorithm consistently achieves complete collision avoidance, indicating a higher safety level for the AEB system. Furthermore, the application of active hierarchical braking minimizes the distance error, at under 0.37 m, which meets psychological expectations of drivers and improves the comfort of the AEB system.
Keywords: automotive engineering; Autonomous Emergency Braking control system; safety distance algorithm; optimized second−order Time to Collision safety time algorithm; hierarchical braking control strategy automotive engineering; Autonomous Emergency Braking control system; safety distance algorithm; optimized second−order Time to Collision safety time algorithm; hierarchical braking control strategy

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MDPI and ACS Style

Fu, X.; Wan, J.; Wu, D.; Jiang, W.; Ma, W.; Yang, T. Research on Vehicle AEB Control Strategy Based on Safety Time–Safety Distance Fusion Algorithm. Mathematics 2024, 12, 1905. https://0-doi-org.brum.beds.ac.uk/10.3390/math12121905

AMA Style

Fu X, Wan J, Wu D, Jiang W, Ma W, Yang T. Research on Vehicle AEB Control Strategy Based on Safety Time–Safety Distance Fusion Algorithm. Mathematics. 2024; 12(12):1905. https://0-doi-org.brum.beds.ac.uk/10.3390/math12121905

Chicago/Turabian Style

Fu, Xiang, Jiaqi Wan, Daibing Wu, Wei Jiang, Wang Ma, and Tianqi Yang. 2024. "Research on Vehicle AEB Control Strategy Based on Safety Time–Safety Distance Fusion Algorithm" Mathematics 12, no. 12: 1905. https://0-doi-org.brum.beds.ac.uk/10.3390/math12121905

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