Development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries
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.
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_12Publisher
SpringerResearch area / line
Recursos naturales y medio ambiente / Ecoeficiencia y tecnologías limpiasSubject
Collections
- Ingeniería Industrial [135]