Title :
Modeling and Energy Management Strategies of a Hybrid Electric Locomotive
Author :
Baert, J. ; Jemei, S. ; Chamagne, D. ; Hissel, D. ; Hibon, S. ; Hegy, D.
Author_Institution :
FEMTO-ST (Energy Dept.), Univ. of Franche-Comte, Belfort, France
Abstract :
The simulation of a Hybrid Electric Vehicle (HEV) using the Energetic Macroscopic Representation (EMR) is suggested in this paper. Indeed, the EMR organizes systems as interconnected sub-systems, improving modularity and flexibility. Firstly, primary and secondary sources´ dynamical models are developed using the EMR. Batteries, Ultra-Capacitors (UCs), rheostat, diesel driven generator set and the HEV load are concerned in this kind of application. Secondly, the implementation of the local control or the Maximum Control Structure (MCS) of each element is realized. Finally, two Energy Management Strategies (EMSs) are implemented using the software Matlab-Simulink®.
Keywords :
electric locomotives; energy management systems; hybrid electric vehicles; mathematics computing; supercapacitors; EMR; HEV load; MCS; UC; diesel driven generator set; energetic macroscopic representation; energy management strategies; flexibility; hybrid electric locomotive; hybrid electric vehicle; maximum control structure; modularity; rheostat; secondary source dynamical model; software Matlab-Simulink; ultracapacitor; Batteries; Combustion; Energy management; Engines; Hybrid electric vehicles; Ice; Load modeling;
Conference_Titel :
Vehicle Power and Propulsion Conference (VPPC), 2012 IEEE
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0953-0
DOI :
10.1109/VPPC.2012.6422766
