Author/Authors :
Kandi-D، Mohsen نويسنده Arak University , , Soleymani، Mehdi نويسنده Department of Mechanical Engineering at Arak University , , Ghadimi، Ali Asghar نويسنده Department of Electrical Engineering at Arak University ,
Abstract :
Design of an optimal fuzzy scheme for a fuel cell/battery vehicle to control
the power
ow between the main components, i.e. the fuel cell, electric motor, and battery,
under various driving conditions, is considered in this paper. For this purpose, rstly,
the optimum sizes of the main components are calculated by means of a Particle Swarm
Optimization (PSO) algorithm. Subsequently, a Fuzzy Logic Controller (FLC) is devised for
the control of the power
ow. Finally, the FLC is optimized for various driving patterns and
an optimal control scheme, based on PSO application, is proposed for energy management
of the Fuel Cell Vehicle (FCV) under various trac conditions. In each one of the mentioned
stages, the same optimization process is conducted by applying a Genetic Algorithm (GA)
for comparison with the result of the PSO. The results of the computer simulation are
compared over diverse driving conditions. The results give an acceptable indication of
progress in fuel economy for various driving patterns, using the proposed optimal fuzzy
controller.
