A Hierarchical Energy Management Strategy for 4WD Plug-In Hybrid Electric Vehicles

In the field of new energy vehicles, 4WD PHEVs show strong energy-saving potential. A single management strategy, nevertheless, has difficulty achieving potential due to complex, nonlinear system PHEV. To cope with it, a hierarchical strategy (H-EMS) for is proposed in this paper achieve optimization. Firstly, future speed information predicted by prediction method, and upper adopts model predictive control (MPC) based on carry out power source distribution between engine battery. Secondly, lower performs component front motor rear an equivalent consumption minimization (ECMS). Finally, simulation MATLAB/Simulink performed, validating that method more capabilities, economy improved 11.87% compared rule-based (RB) strategies.