Design and performance evaluation of solid oxide-based fuel cell stack for electric vehicle system with modified marine predator optimized fuzzy controller

The Fuel Cell (FC) included electric vehicle is a fast-growing research area in the current automotive industry. Also, the fuel cell offers many features when associated with the other non-conventional energy transformation systems. The FC is one of the renewable sources which is providing efficient solutions in the excess power demand areas and it is the most important upcoming continuous energy supply system. In this work, a Solid Oxide (SO) fuel composite has been considered for transferring one form of the chemical energy to another form of electrical energy. The SO fuel stacks are having plenty of advantages due to their solid materials and high working temperature which are expressed as less electrolyte loss Maintenance, and no need for electrolyte portions. The major disadvantages of SO fuel cells are electrolyte materials maintenance and nonlinear power supply characteristics curves. These drawbacks are optimized by employing the Modified Marine Predator (MMP) concept. The MMP methodology controls the fuzzy system size with a few sensing devices. The reduced number of sensing devices based Fuzzy Maximum Power Point Tracking (FMPPT) technique is utilized for obtaining the maximum output power of SO fuel cell. The merits of the proposed MMP controller are optimum design cost, smooth performance, more flexibility, and is high efficiency. Copyright (C) 2022 Elsevier Ltd. All rights reserved.