Title: Research on pattern recognition of automobile anti-lock braking system

Authors: Jiangang Li

Addresses: School of Automotive Engineering, Zibo Vocational Institute, Zibo, Shandong, China

Abstract: The Anti-lock Braking system (ABS) plays a pivotal role in ensuring the stability of driving operation. The study proposes an ABS based on pavement identification based on the establishment of a vehicle dynamics model, which first determines the type of road surface and then realises brake control through adaptive fuzzy PID. The outcomes show that on dry concrete roads, the wheel speed under the control of this method quickly tracks up to the body speed after 0.1 s. The braking distance was 69.87 m and 47.68 m on the mixed soil road and ice road respectively. In the actual docking road test, the method can quickly and accurately identify the optimal slip rate, with a braking time of only 3.842 s, indicating that the method can achieve effective identification and efficient control of the car ABS, which provides a reference technical means to further improve the car driving safety.

Keywords: anti-lock braking; road surface recognition; fuzzy control; PID.

DOI: 10.1504/IJVICS.2023.131612

International Journal of Vehicle Information and Communication Systems, 2023 Vol.8 No.1/2, pp.119 - 134

Received: 02 Dec 2022
Accepted: 27 Mar 2023
Published online: 20 Jun 2023 *