An adaptive model predictive controller for a novel battery-powered anti-idling system of service vehicles

Modelling and testing of in‐wheel motor drive intelligent electric vehicles based on co‐simulation with Carsim/Simulink

“…Simulation and experiments were carried out to investigate the effectiveness of the model and model‐based SOC estimation methods. Compared to other battery models, the Rint model is reliable due to its simple topology structure [28–31]. The Rint model is adopted in this paper.…”

Robust H ∞ state feedback control for handling stability of intelligent vehicles on a novel all‐wheel independent steering mode

“…DYC calculates yaw moments and the effect on the vehicle's lateral motion to improve the handling stability of the vehicle. Proposed methods for generating yaw moments include model predictive control, sliding mode control, and fuzzy control [6][7][8][9][10][11]. Recently, electric four-wheel-drive vehicles with all-wheel independent steering have attracted attention.…”

State Feedback Control Based on Regional Pole Placement on Handling Stability of Ground Vehicles

“…Based on the systems mentioned above, many modern control methods have been applied to vehicle control. The sliding mode control [10] and model predictive control [11], [12] The associate editor coordinating the review of this manuscript and approving it for publication was Engang Tian . methods were proposed to solve the lateral dynamic control problem and the problem regarding the anti-idling system; the learning control method proposed in [13] can be used to solve the path-following problem in autonomous vehicles, while the adaptive robust control method proposed in [14] can be used to control the active suspensions in electrohydraulic actuators.…”