Lateral stability regulation of intelligent electric vehicle based on model predictive control

Purpose This paper studies the lateral stability regulation of intelligent electric vehicle (EV) based on model predictive control (MPC) algorithm. Design/methodology/approach Firstly, bicycle is adopted in system modelling process. To improve accuracy, stiffness front and rear tire estimated using real-time yaw rate acceleration dynamics. Then constraint input output controller designed. Soft constraints speed are designed to guarantee solved persistent feasibility enforce vehicle’s sideslip angle within a safety range. Findings The simulation results show that proposed MPC algorithm can handling performance under complex working conditions. Originality/value schema objective function established. integrated active steering/direct moments strategy simultaneously model. chosen as controlled stable online estimation performed. modelled into two-degree-of-freedom equation solve cornering real time. ensure accuracy