VALIDATION OF SEMI-EMPIRICAL TEMPERATURE MODEL OF PEMFC USING ATOM SEARCH OPTIMIZATION ALGORITHM

Proton Exchange Membrane Fuel Cell (PEMFC) has unique thermal characteristics. The change in PEMFC temperature directly effects the performance. voltage and of at different loading/ambient conditions is not easy to predict. In this work a newly developed semi-empirical model used parameters are optimized for single cell (base-case) by using atom search optimization. was tested stack system but any cannot be validated unless it effective single-cell system. new show promising results hence works considered as good model. Previously due unknown base-case ranges selected extremely large. considering previously extracted short given so that future optimization will take less time increases chances online prediction temperature.