Energy management of a parallel hybrid electric vehicle with CVT using model predictive control

The energy management strategy plays an important role in the control of a hybrid electric vehicle (HEV), which can obviously improve the energy efficiency without significant loss of driving performance. This paper focuses on the energy management of a parallel hybrid electric vehicle with a continuously variable transmission (CVT) using model predictive control (MPC), including torque split and gear ratio optimization. Gauss pseudo-spectral (GPM) method is employed to discretize the optimal problem and reduce computational time in the framework of MPC. Simulation results show that the proposed energy management strategy can effectively improve energy efficiency with less computational load.