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

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Advances and Applications in Computer Science, Electronics and Industrial Engineering (CSEI 2019)

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.

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Correspondence to Fabricio Paredes Larroca .

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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

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  • DOI: https://doi.org/10.1007/978-3-030-33614-1_12

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  • Print ISBN: 978-3-030-33613-4

  • Online ISBN: 978-3-030-33614-1

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