A comprehensive review on parameter estimation techniques for Proton Exchange Membrane fuel cell modelling. (October 2018)

• Record Type: Journal Article
• Authors: Priya, K.; Sathishkumar, K.; Rajasekar, N.
• Is Part Of: Renewable & sustainable energy reviews. Volume 93(2018)
• Page Start: 121
• Page End: 144
• Publication Date: 2018-10
• Subjects: Fuel cell modelling -- Parameter estimation -- Efficiency and metaheuristic algorithms; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.rser.2018.05.017
• Languages: English
• ISSNs: 1364-0321

Abstract

Abstract: The widespread use of Proton Exchange Membrane fuel cell for its unique advantages compelled researchers for precise modelling of its characteristics. Since, modelling becomes extremely important for better understanding, simulation, design, analysis and development of high efficiency fuel cell system. However, due to its non-linearity, multivariate and strongly coupled characteristics; mathematical modelling based on empirical equations was widely adopted. But, the shortage of data, complexity in modelling, and number of unknown parameters favored the use of optimization methods. Many optimization methods have been endeavored to model Proton Exchange Membrane fuel cell characteristics. However, no prior attempt has been made to consolidate the contributions. Hence, this paper comprehensively describes and discusses the various Artificial Intelligence/bio inspired methods applied for fuel cell parameter estimation problem. The methods background theory and its application to the problem is elaborated. It is envisioned that, this review will be a one stop solution to the researchers and engineers working in the area of fuel cell systems. Highlights: Necessity of parameter estimation for PEMFCs is discussed. Various metaheuristic algorithms applied for PEMFC parameter estimation is explained. An in-depth review on the compatibility of various algorithms for PEMFC modelling is presented. Comprehensive analysis based on method's merits, de-merits and its suitability is elaborated. Critical evaluation based on various performance parameters is detailed.