A novel self-tuning type-2 fuzzy maximum power point tracking technique for efficiency enhancement of fuel cell based battery chargers
作者： Pezhman Bayat , Alfred Baghramian
DOI: 10.1016/J.IJHYDENE.2020.05.274
关键词:
摘要: Abstract Given the uncertainties associated with proton-exchange membrane fuel cell systems and relatively low efficiency of stacks for low-power applications, designing a high-efficiency maximum power point tracking (MPPT) controller electric vehicles is an important also technically challenging issue. For this purpose, in article, aiming to develop cost battery charger, novel self-tuning type-2 fuzzy MPPT presented. The main task provide better performance regulate switching duty cycle used converter under system's uncertainty conditions order dynamically extract from system maintain at its highest possible state charge while protecting it overcharging. sake computational efficiency, improved invasive weed optimization algorithm, called elitist (EIWO), presented tune set parameters, whose improvement demanding due limited human experience knowledge. All data processing simulations are conducted MATLAB software. Finally, proposed examined through using experimental tests prototype device.
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