Title :
Double fuzzy logic decision in HEV energy management
Author :
Neffati, A. ; Caux, Stephane ; Fadel, Maurice
Author_Institution :
LAPLACE, Univ. of Toulouse, Toulouse, France
Abstract :
The energy management of Hybrid Electric Vehicles (HEV) see a major scientific effort in recent years. The major challenge is online management of the power required in a HEV within the constraints on state of charge in the storage element and the available energy and the different sources characteristics. This paper focuses on the management of electrical energy for HEV made with fuel cell and super capacitors, the problem is how to distribute instantaneously electrical power requested through the different energy sources by optimizing total consumption of hydrogen on a mission profile.
Keywords :
energy management systems; fuzzy logic; hybrid electric vehicles; HEV energy management; double fuzzy logic decision; energy sources; fuel cell; hybrid electric vehicles; super capacitors; Energy management; Fuel cells; Hybrid electric vehicles; Indexes; Real-time systems; Switches; System-on-chip; controller; electric vehicle; energy consumption;
Conference_Titel :
Electric Vehicle Symposium and Exhibition (EVS27), 2013 World
Conference_Location :
Barcelona
DOI :
10.1109/EVS.2013.6915037