Hybrid Electrical Vehicle(HEV) Drive Control Based on Model Predictive Control With Variable Weights

The drive systems of Hybrid Electric Vehicles have been studied to design a control that can optimize fuel consumption. This study addresses controller design for Model Predictive Control using novel weighting coefficients. The proposed method makes the coefficients variable according to driving conditions, i.e., varying the weighting effects at the stage of decreased speed. In this paper, the validity is compared for fuel consumption using 3 driving cycles then the proposed method is a higher value than the conventional MPC in all cycles.