THE ADAPTIVE SPEED TRACKING CONTROLLER FOR INTELLIGENT ELECTRIC VEHICLES USING WFCMAC INCLUDES CAR-FOLLOWING BEHAVIOR, IMPROVING SAFETY AND ENERGY EFFICIENCY

  • Tran Thanh Hai
  • Ngo Thanh Quyen
  • Nguyen Tho Van
  • Phan Minh Than
  • Nguyen Van Sy
  • Le Tong Tan Hoa
  • Bui Thi Cam Quynh
Keywords: Intelligent electric vehicles; regenerative braking; energy efficiency; Wavelet Function Cerebellar Model Articulation Controller; adaptive control.

Abstract

Intelligent electric vehicles (IEVs) are increasingly being developed due to their high safety, energy-saving, and environmental friendliness. This research
proposes an adaptive speed control method, especially considering the braking system of intelligent electric vehicles. The study aims to improve the safety and
energy savings of IEVs during vehicle operation. First, the article builds a nonlinear dynamic model for IEVs, including electric motors, gearboxes, and braking
systems. Then, an IEV acceleration controller will be designed using the Wavelet Function Cerebellar Model Articulation Controller (WFCMAC) to approximate
the desired target. In addition, the paper also proposes a new regenerative braking strategy to maximize braking energy. Simulation results show that the
proposed control system effectively keeps up speed and conserves braking energy while maintaining IEV's operational safety.

điểm /   đánh giá
Published
2025-10-20
Issue
Tập 60. Số 9 (2024)
Section
RESEARCH AND DEVELOPMENT