Cheng, Shuaizhi (Changchun University of Technology), Zhang, Niaona (Changchun University of Technology), Jiang, Chunxia (Changchun University of Technology), Li, Genbang (Changchun University of Technology), Ma, Peng Ze (Changchun University of Technology)

Adaptive Cruise Control of Networked Electric Vehicles Based on Lane Change Trajectory Prediction of the Preceding Vehicle

Scheduled for presentation during the Regular session "Vehcile Control III" (FrA2), Friday, November 1, 2024, 09:50−10:10, Room T2

7th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, Oct 30 - Nov 1, 2024, Dalian, China

This information is tentative and subject to change. Compiled on January 2, 2025

Abstract

Aiming at the influence of lane change behavior of the leading vehicle on road safety and vehicle energy consumption, an adaptive cruise control strategy for networked electric vehicles based on lane change behavior trajectory prediction is proposed in this paper. Firstly, the prediction model of the lane change trajectory of the vehicle in front is established by using the bidirectional long short-term memory network. The model is trained using real vehicle driving data, allowing it to predict the lane change trajectory of the leading vehicle. Then, the optimization problem aiming at energy saving, safety and driving comfort is transformed into a quadratic programming problem to realize the optimization of ecological cruise speed to adapt to the real traffic environment. Finally, the effectiveness of the proposed ACCS is verified by simulation experiments. Compared with the existing cruise control strategies, ACCS not only ensures driving safety and comfort, but also reduces energy consumption.