Energy management strategy design for plug-in hybrid electric vehicles with continuation/GMRES algorithm

This paper introduces applications of a numerical method for realizing real-time optimization for energy management of plug-in hybrid electric vehicles (PHEVs). Without previous information of driving route, on-line power-split decision of driver demand power is formulated as nonlinear receding horizon control (RHC) problem. Fuel economy optimization for both of power-split and parallel PHEVs is investigated. The Continuation/GMRES (generalized minimum residual) algorithm is applied to solve the proposed nonlinear RHC problems for real-timeness. Testing results of the proposed strategies are demonstrated by using GT-Suite HEV simulators.