Integrated Adaptive Cruise Control and BLDC Motor Drive for Optimal Speed Regulation in Electric Vehicles

Abstract

The development of purely electric vehicles has grown exponentially in recent years. This development is not only in terms of equipment such as lithium batteries, which offer greater autonomy, but also in terms of comfort and safety through driver assistance systems (ADAS). Adaptive Cruise Control (ACC) is one of these ADAS systems, providing both speed and distance control for smoother, safer driving. The speed control chain in electric vehicles is based on two control loops, one external to the ACC controller and one internal to the motor controller. This article presents a study of the control combination of this control chain. The ACC system based on predictive control (MPC) which generates the reference for the second loop contains the brushless motor (BLDC) controlled by an optimized PID. This combination was tested and simulated using Matlab Simulink software. The results show the compatibility of this control chain with a speed control chain in terms of robustness and performance.