Optimization of energy management in hybrid vehicle (Fuell cell, Battery, Ultra-capacitor)

In recent years، the various usage of fuel cells in vehicles has absorbed attention in industry and academic area. The fuel cells، are considered as a modern power sources in transportation. Hybridization of the fuel cell system with a secondary peaking power source is an effective approach to overcome the disadvantages of the fuel-cell-alone-powered vehicles. Two of the possible combinations is fuel cell/ battery and Fuel cell/ battery/ ultra-capacitor composition. Typically، one energy source is storage like battery and ultra-capacitor، and the other is conversion of a fuel to energy like fuel cell. Obviously، the performance of the drive train relies mainly on control quality. This work presents an enhanced method for distributing power demand through the hybrid power sources. Fuzzy logic control is considered for this purpose. Genetic algorithm has implemented for tuning this strategy by means of off-line simulation in two combined driving cycle and evaluation in 4 separated driving cycles. Multiple objective fitness function deals with effective parameters for getting reliable and acceptable results from optimization process. Finally، this optimized strategy present a fully-advanced method for energy management system of fuel cell hybrid vehicles.