Design of an optimal fuzzy scheme, for a fuel cell/battery vehicle to control the power flow between the main components, fuel cell, electric motor, and battery, at various driving conditions is considered in this paper. For this purpose, firstly, the optimum sizes of the main components are calculated by means of particle swarm optimization (PSO) algorithm. Subsequently, a fuzzy logic controller (FLC) is devised for the control of the power flow. 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) at various traffic conditions. In each one of the mentioned stages, the same optimization process is conducted by applying 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 at various driving patterns, using the proposed optimal fuzzy controller.
Kandi-D, M., Soleymani, M., & Ghadimi, A. A. (2016). Designing an Optimal Fuzzy Controller for a Fuel Cell Vehicle Considering Driving Patterns. Scientia Iranica, 23(1), 218-227. doi: 10.24200/sci.2016.3827
MLA
Mohsen Kandi-D; Mehdi Soleymani; Ali Asghar Ghadimi. "Designing an Optimal Fuzzy Controller for a Fuel Cell Vehicle Considering Driving Patterns". Scientia Iranica, 23, 1, 2016, 218-227. doi: 10.24200/sci.2016.3827
HARVARD
Kandi-D, M., Soleymani, M., Ghadimi, A. A. (2016). 'Designing an Optimal Fuzzy Controller for a Fuel Cell Vehicle Considering Driving Patterns', Scientia Iranica, 23(1), pp. 218-227. doi: 10.24200/sci.2016.3827
VANCOUVER
Kandi-D, M., Soleymani, M., Ghadimi, A. A. Designing an Optimal Fuzzy Controller for a Fuel Cell Vehicle Considering Driving Patterns. Scientia Iranica, 2016; 23(1): 218-227. doi: 10.24200/sci.2016.3827
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