Adaptive Control and Parameter Estimation for Electric Vehicles with One-Pedal-Driving Feature in Platooning Applications

Abstract

Vehicle platooning has attracted much attention due to the significant fuel-saving potential due to the reduced aerodynamic drag force. The Battery Electric Vehicle (BEV) with One Peal Driving (OPD) feature is more suitable for platooning than traditional gasoline vehicles because of the regenerative braking. However, vehicle platooning also presents significant uncertainties in the aerodynamic drag coefficient, which is critical in vehicle spacing control and energy saving but not measurable. In this study, an adaptive controller was proposed to control the inter-vehicle space in platooning application and to estimate the aerodynamic drag coefficient simultaneously by using the embedded adaptation law. Then it was simulated on a simplified BEV with OPD model. The simulation results have demonstrated high performance of the proposed adaptive controller in spacing control, in presence of high uncertainty in the drag coefficient. In addition, the real-world field tests showed promising results on spacing control.