Model Prediction Based Boost Converter Control Method for HEV Applications

Boost converter is widely applied to hybrid electric vehicles (HEV). Typical control methods employ two proportional-integral (PI) regulators to fulfill DC bus voltage closed-loop control and inductor current closed-loop control, respectively. They have intrinsic performance limitations: 1) slow dynamic response of DC bus voltage regulation; 2) high overshoot voltage during transient state; 3) it is difficult to design four gains best fit all operational conditions. This paper proposes a model prediction based boost converter control method for HEV applications. The proposed control method employs model based instantaneous power prediction and dynamic optimization in real time by minimizing a defined cost function to overcome above issues. First of all, the issues of typical control methods are analyzed. Then, the proposed control method is presented in detail, followed by simulation verification and comparison with PI based control method. Simulation results show that the proposed control method provides much better performance to boost converter system than the PI-based control.