Saltar al contenido
República del Perú · Observatorio de la producción científica universitaria
OApol.org Observatorio de Inteligencia Científica Universitaria del Perú
OApol.org
Inicio Universidades Publicaciones Investigadores
Repositorios
Tesis y trabajos académicosRevistas
Indicadores
Ranking trimestralRanking por carreraObjetivos de Desarrollo SostenibleReporte OCDERed neuronal 3D
Acerca
MetodologíaPrivacidad

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

Paredes Larroca F.; Saettone Olschewski E.; Quino Favero J.; Rosales Huamaní J.; Castillo Sequera J.L. · Advances in Intelligent Systems and Computing (2020) · DOI: 10.1007/978-3-030-33614-1_12

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. © Springer Nature Switzerland AG 2020.

Instituciones: Universidad Nacional de Ingeniería; Universidad de Lima