Model predictive control strategy for plug-in hybrid electric vehicles

Abstract

Plug-in hybrid electric vehicle (PHEV) is a kind of hybrid electric vehicles (HEV) that has a large capacity battery to satisfy the requirement of the distance for commuters. The parallel PHEV has two kinds of power source, internal combustion engine (ICE) and electric motor (EM). To have a superior fuel economy, a control strategy to split the driving power to ICE and EM is important. In this paper, we propose a model predictive control strategy to regulate the individual power from ICE and EM in a parallel PHEV to minimize fuel consumption. The control strategy can improve fuel economy comparing with other strategies, and the proposed strategy also considers the computational burden for real time implement.