Modelling, Parameter Identification, and Experimental Validation of a Lead Acid Battery Bank Using Evolutionary Algorithms

Autor: H. Eduardo Ariza Chacón, Edison Banguero, Antonio Correcher, Ángel Pérez-Navarro, Francisco Morant

Publikováno v: Energies, Vol 11, Iss 9, p 2361 (2018)

Accurate and efficient battery modeling is essential to maximize the performance of isolated energy systems and to extend battery lifetime. This paper proposes a battery model that represents the charging and discharging process of a lead-acid batter

Externí odkaz: https://doaj.org/article/6350f7003a90477eb5685083d3fc0bc6

Thermal and Electrical Parameter Identification of a Proton Exchange Membrane Fuel Cell Using Genetic Algorithm

Autor: Ángel Navarro-Pérez, H. Eduardo Ariza, E. García, A. Correcher, Carlos Sánchez

Publikováno v: Energies
Volume 11
Issue 8
Energies, Vol 11, Iss 8, p 2099 (2018)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[EN] Proton Exchange Membrane Fuel Cell (PEMFC) fuel cells is a technology successfully used in the production of energy from hydrogen, allowing the use of hydrogen as an energy vector. It is scalable for stationary and mobile applications. However,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54a52903aeb2579d182653eb622bad37