Trip-Oriented Energy Management Control Strategy for Plug-In Hybrid Electric Vehicles

Abstract

This paper presents a trip-oriented energy management control strategy for plug-in hybrid electric vehicle (PHEV). The proposed strategy provides system optimization and control methods to improve real-world fuel economy (FE) by optimizing the power demand distribution between fuel and battery electricity and the power delivery split between the mechanical and electrical paths in a PowerSplit PHEV architecture. A two degree of freedom system model is established to characterize the actuation dynamics and the power delivery properties of the powertrain. This paper achieves three important contributions to PHEV energy management control research: 1) the optimal control problem is solved considering both the nonlinearity of battery efficiency and the complexity of PowerSplit architecture; 2) a novel trip-oriented energy consumption preplanning method is proposed using a driving pattern-based dynamic programming approach; and 3) a feedback control system is designed to realize the optimal energy consumption process in real applications. The proposed energy management control strategy has been shown to improve FE in Ford Escape PHEVs.