Title: Design of the control system for preventing automobile accelerator from treading on brake mistakenly based on artificial intelligence technology

Authors: Huanli He; Yulin Lai

Addresses: 9Key Laboratory of Automotive Power Transmission and Electronic Control of HuBei Province, School of Automotive Engineering, HuBei University of Automobile Technology, ShiYan 442002, Hubei, China ' School of Petroleum and Gas Engineering, Southwest Petroleum University, Chengdu 610500, Sichuan, China

Abstract: This research is devoted to designing an automobile control system based on artificial intelligence technology, which can prevent the accelerator from accidentally stepping on the brake, thus significantly improving the safety of automobile driving. By establishing the precise braking system and safety distance model, this paper elaborates the overall scheme design and key technologies of automotive intelligent braking control system. Through the design of S-curve control algorithm, the vehicle running state obtained from each module is combined with the algorithm to achieve accurate control of acceleration and main acceleration and deceleration. The experiment shows that the simulation curve of S-curve control algorithm accelerates quickly and smoothly. When the simulation curve is 0.1 seconds in the deceleration process, the speed only drops to 0.8 m/s, and the speed change is still relatively stable. This shows that the S-curve control algorithm is more in line with the automobile intelligent brake control system.

Keywords: automobile throttle; anti-stepping braking control; artificial intelligence; controller area network; CAN.

DOI: 10.1504/IJES.2023.139057

International Journal of Embedded Systems, 2023 Vol.16 No.3, pp.173 - 184

Received: 13 Feb 2023
Accepted: 31 Jan 2024
Published online: 10 Jun 2024 *

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