Matches in SemOpenAlex for { <https://semopenalex.org/work/W2803525295> ?p ?o ?g. }
- W2803525295 endingPage "144" @default.
- W2803525295 startingPage "121" @default.
- W2803525295 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." @default.
- W2803525295 created "2018-06-01" @default.
- W2803525295 creator A5041611100 @default.
- W2803525295 creator A5044468918 @default.
- W2803525295 creator A5073161930 @default.
- W2803525295 date "2018-10-01" @default.
- W2803525295 modified "2023-10-18" @default.
- W2803525295 title "A comprehensive review on parameter estimation techniques for Proton Exchange Membrane fuel cell modelling" @default.
- W2803525295 cites W1058662125 @default.
- W2803525295 cites W1541288193 @default.
- W2803525295 cites W1595159159 @default.
- W2803525295 cites W1894261052 @default.
- W2803525295 cites W1909566735 @default.
- W2803525295 cites W1963829045 @default.
- W2803525295 cites W1964938773 @default.
- W2803525295 cites W1966882367 @default.
- W2803525295 cites W1967188148 @default.
- W2803525295 cites W1971718818 @default.
- W2803525295 cites W1972049365 @default.
- W2803525295 cites W1973718791 @default.
- W2803525295 cites W1975148182 @default.
- W2803525295 cites W1975987798 @default.
- W2803525295 cites W1977042441 @default.
- W2803525295 cites W1979164982 @default.
- W2803525295 cites W198054410 @default.
- W2803525295 cites W1982295350 @default.
- W2803525295 cites W1982600514 @default.
- W2803525295 cites W1982772445 @default.
- W2803525295 cites W1986635246 @default.
- W2803525295 cites W1987092188 @default.
- W2803525295 cites W1990098074 @default.
- W2803525295 cites W1993885071 @default.
- W2803525295 cites W1998143799 @default.
- W2803525295 cites W1998304553 @default.
- W2803525295 cites W1999284878 @default.
- W2803525295 cites W2001422417 @default.
- W2803525295 cites W2003266828 @default.
- W2803525295 cites W2020414814 @default.
- W2803525295 cites W2024060531 @default.
- W2803525295 cites W2029387066 @default.
- W2803525295 cites W2029711470 @default.
- W2803525295 cites W2036032847 @default.
- W2803525295 cites W2037061913 @default.
- W2803525295 cites W2040654740 @default.
- W2803525295 cites W2042941530 @default.
- W2803525295 cites W2043792859 @default.
- W2803525295 cites W2046224350 @default.
- W2803525295 cites W2047982693 @default.
- W2803525295 cites W2051638002 @default.
- W2803525295 cites W2056203337 @default.
- W2803525295 cites W2061438946 @default.
- W2803525295 cites W2068437091 @default.
- W2803525295 cites W2078506433 @default.
- W2803525295 cites W2081532492 @default.
- W2803525295 cites W2086101719 @default.
- W2803525295 cites W2086715381 @default.
- W2803525295 cites W2086775437 @default.
- W2803525295 cites W2088025305 @default.
- W2803525295 cites W2099128407 @default.
- W2803525295 cites W2099239187 @default.
- W2803525295 cites W2101476747 @default.
- W2803525295 cites W2102975414 @default.
- W2803525295 cites W2109832014 @default.
- W2803525295 cites W2111142067 @default.
- W2803525295 cites W2123385824 @default.
- W2803525295 cites W2133026422 @default.
- W2803525295 cites W2134482705 @default.
- W2803525295 cites W2140832539 @default.
- W2803525295 cites W2145804350 @default.
- W2803525295 cites W2148577855 @default.
- W2803525295 cites W2156294076 @default.
- W2803525295 cites W2158708642 @default.
- W2803525295 cites W2160357719 @default.
- W2803525295 cites W2167364082 @default.
- W2803525295 cites W2168081761 @default.
- W2803525295 cites W2229362246 @default.
- W2803525295 cites W2235868144 @default.
- W2803525295 cites W2401378819 @default.
- W2803525295 cites W2402803070 @default.
- W2803525295 cites W2541400468 @default.
- W2803525295 cites W2543580944 @default.
- W2803525295 cites W2544472124 @default.
- W2803525295 cites W2589003246 @default.
- W2803525295 cites W2607476207 @default.
- W2803525295 cites W2608295862 @default.
- W2803525295 cites W2608814237 @default.
- W2803525295 cites W2610697645 @default.
- W2803525295 cites W2736674815 @default.
- W2803525295 cites W2741263459 @default.
- W2803525295 cites W3138295406 @default.
- W2803525295 cites W989291549 @default.
- W2803525295 doi "https://doi.org/10.1016/j.rser.2018.05.017" @default.
- W2803525295 hasPublicationYear "2018" @default.
- W2803525295 type Work @default.
- W2803525295 sameAs 2803525295 @default.
- W2803525295 citedByCount "113" @default.
- W2803525295 countsByYear W28035252952018 @default.
- W2803525295 countsByYear W28035252952019 @default.