Predictive Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell System

• Main Authors: Jye Yun, Fam, Shen Yuong, Wong, Hazrul, Mohamed Basri, Mohammad Omar, Abdullah, Kasumawati, Lias, Saad, Mekhilef
• Format: Article
• Language: English
• Published: IEEE 2021
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://ir.unimas.my/id/eprint/36776/1/Predictive1.pdf; http://ir.unimas.my/id/eprint/36776/; https://ieeexplore.ieee.org/document/9623565
• Institution: Universiti Malaysia Sarawak

This project aims to design a predictive maximum power point tracking (MPPT) for a proton exchange membrane fuel cell system (PEMFC). This predictive MPPT includes the predictive control algorithm of a DC-DC boost converter in the fully functional mathematical modeling of the PEMFC system. The DC...