Dynamic Characteristic Improvement of Integrated On-Board Charger Using a Model Predictive Control

Abstract

This paper proposes a dynamic characteristic improvement of an integrated on-board charger (OBC) using a model predictive control (MPC) method. The integrated OBC performs both battery charging and starter generator (SG) driving for engine starting in plug-in hybrid electric vehicles (PHEVs). If it performs battery charging, battery-side voltage and battery-side current are control objects which are usually controlled by using a proportional-integral (PI) controller. However, it has the disadvantage of undesirable dynamic characteristics, and gain tuning of the PI controller is necessary to properly control the voltage and current. Therefore, this paper proposes the MPC method for the dynamic characteristic improvement of integrated OBC. It can achieve not only dynamic characteristic improvement, but also robustness from the abrupt change of load impedance. By using the proposed MPC method for integrated OBC, the settling time to control the output voltage is decreased by 50% in the transient state compared to that by using the PI controller. The effectiveness of the proposed MPC method is verified by simulation and experimental results.

A critical review on contemporary power electronics interface topologies to vehicle‐to‐grid technology: Prospects, challenges, and directions

“…An improved DB predictive current control strategy was proposed in [106] to lessen the effects of grid voltage distortion, parameter dependency, and control delay in single‐phase charging infrastructure for EVs. To increase dynamic characteristics and robustness from a sudden fluctuation in load impedance, an MPC approach was developed in [107] for an integrated on‐board charger for EVs.…”