Title: Hierarchical control of combined hybrid electric vehicle
Author: Mohsen Mohammadian, Seyyed Mohammad Taghi Bathaee, Amin Hajizadeh
Shahid Bahonar University, Kerman, Iran.
K.N. Toosi University of Technology, Tehran, Iran.
K.N. Toosi University of Technology, Tehran, Iran
Abstract: This paper describes a novel strategy developed for optimising the energy flow in a combined hybrid electric vehicle (CHEV) structure. This method implemented an online energy management by a hierarchical hybrid controller between dual sources in this kind of hybrid systems. This structure included two energy sources, the battery and the stack of fuel cells, and its power train system is based on an electric motor (EM) and internal combustion engine (ICE) in a parallel combination. The proposed control method involves a supervisory controller which in the first layer captures all the possible operation modes. In the second layer, an advanced fuzzy hybrid controller has been developed for each of the defined modes. Finally in the third layer of controller, there are local controllers to regulate the set points of each subsystem to reach the best performance and acceptable operation indexes. The simulation results confirm the feasibility and encourage more research toward an actual application.
Keywords: hybrid electric vehicles; combined HEVs; CHEVs; dual sources; energy management; fuzzy control; supervisory control; vehicular technology; vehicle control; hybrid vehicles; hybrid control.
Int. J. of Electric and Hybrid Vehicles, 2008 Vol.1, No.4, pp.424 - 453
Available online: 24 Dec 2008