Abstract
Abstract This paper presents a new optimal method for model estimation of the unknown parameters of circuit-based proton exchange membrane fuel cells (PEMFCs). The main idea is to minimize the sum of squared error (SSE) value between the actual data and the estimated results. The optimization process here is based on an Improved Fluid Search Optimization Algorithm (IFSO). For verification of the suggested method, it is applied to three practical case studies including Horizon H-12 stacks, NedStack PS6, and Ballard Mark V 5 kW under different operating conditions with temperature variations between 30 o C and 55 o C and pressure variations between 1.0/1.0 Bar and 3.0/3.0 Bar. The results of these case studies are also compared with CGOA, MRFO, and basic FSO algorithm to show the proposed method’s effectiveness. The results show that the minimum value of SSE among different algorithms is 0.7845, 2.15, and 0.084, respectively that are reached by the suggested IFSO algorithm.
Highlights
Energy has long been recognized as the driving force of human societies and has been added to human importance and influence in human development
The current–voltage curve of the NedStack PS6 for the empirical curve and model curve based on Grass Fibrous Root Optimization Algorithm (GRA), CGOA, the basic Fluid Search Optimization (FSO), and the proposed Improved Fluid Search Optimization Algorithm (IFSO) algorithms have been shown in Fig. 6 which shows a satisfying agreement among measured and model voltage points
To show the reliability of the proposed model based on IFSO, it is analyzed under different conditions, i.e. temperature variations and partial pressure variations
Summary
Energy has long been recognized as the driving force of human societies and has been added to human importance and influence in human development. The biggest problem with the use of fossil fuels is that the recovery of energy and carbon dioxide that have been out of the world’s energy and energy cycle over millions of years. This direct energy releasing and the resulting greenhouse gases increase the Earth’s temperature and cause abnormal environmental changes such as polar ice melting and rising ocean water levels, flooding, storms, droughts and Famine, outbreaks of pests, parasites and infectious diseases (Mirzapour et al, 2019; Hosseini Firouz and Ghadimi, 2016).
Sign-in/Register to view highlights & summary 
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call