Development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries

Fabricio Paredes Larroca, Erich Saettone Olschewski, Javier Quino Favero, Jimmy Rosales Huamaní, José Luis Castillo Sequera

Resultado de la investigación: Capítulo del libro/informe/acta de congresoArticulo (Contribución a conferencia)revisión exhaustiva

Resumen

The design and implementation of a solar charge controller for lead–acid batteries is intended to supplement a component of the water purification module of the water treatment unit for natural disaster relief. This unit contains a solar panel system that supplies power to the module by charging batteries through a controller comprising an Atmega 328 processor. The solar panel feeds voltage to the batteries through fuzzy logic-based software, which allows up to 6 A DC to pass through the controller’s power circuit. Consequently, the battery was charged in less time (an average of 7 h to reach maximum capacity), wherein battery lifespan is related to the charge wave frequency. Thus, our software may be adapted in different control algorithms without having to change hardware.

Idioma originalInglés
Título de la publicación alojadaAdvances and Applications in Computer Science, Electronics and Industrial Engineering -Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2019
EditoresJyrki Nummenmaa, Federico Pérez-González, Bruno Domenech-Lega, Jean Vaunat, Félix Oscar Fernández-Peña
EditorialSpringer
Páginas168-183
Número de páginas16
ISBN (versión impresa)9783030336134
DOI
EstadoPublicada - 1 ene 2020
Evento1st International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2019 - Ambato, Ecuador
Duración: 28 oct 201931 oct 2019

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1078
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

Conferencia1st International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2019
País/TerritorioEcuador
CiudadAmbato
Período28/10/1931/10/19

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