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

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Date
2020
Author(s)
Paredes Larroca, Fabricio Humberto
Saettone Olschewski, Erich Arturo
Quino Favero, Javier
Rosales Huamaní, Jimmy
Castillo Sequera, José Luis
Metadata
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Abstract
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.
URI
https://hdl.handle.net/20.500.12724/9931
DOI
https://doi.org/10.1007/978-3-030-33614-1_12
How to cite
Paredes Larroca F., Saettone Olschewski E., Quino Favero J., Rosales Huamaní J., & Castillo Sequera J.L. (2020) Development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries. In: Nummenmaa J., Pérez-González F., Domenech-Lega B., Vaunat J., Oscar Fernández-Peña F. (eds) Advances and Applications in Computer Science, Electronics and Industrial Engineering. CSEI 2019. Advances in Intelligent Systems and Computing, vol 1078. Springer, Cham. https://doi.org/10.1007/978-3-030-33614-1_12
Publisher
Springer
Subject
Tratamiento de aguas
Pilas eléctricas
Células solares
Electric batteries
Water treatment
Solar cells
Event
CSEI 2019: Advances and Applications in Computer Science, Electronics and Industrial Engineering
Collections
  • Ingeniería Industrial [182]


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