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

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

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 congreso › Articulo (Contribución a conferencia) › revisión exhaustiva

1 Cita (Scopus)

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 original	Inglés
Título de la publicación alojada	Advances and Applications in Computer Science, Electronics and Industrial Engineering -Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2019
Editores	Jyrki Nummenmaa, Federico Pérez-González, Bruno Domenech-Lega, Jean Vaunat, Félix Oscar Fernández-Peña
Editorial	Springer
Páginas	168-183
Número de páginas	16
ISBN (versión impresa)	9783030336134
DOI	https://doi.org/10.1007/978-3-030-33614-1_12
Estado	Publicada - 1 ene. 2020
Evento	1st International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2019 - Ambato, Ecuador Duración: 28 oct. 2019 → 31 oct. 2019

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	1078
ISSN (versión impresa)	2194-5357
ISSN (versión digital)	2194-5365

Conferencia

Conferencia	1st International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2019
País/Territorio	Ecuador
Ciudad	Ambato
Período	28/10/19 → 31/10/19

COAR

Artículo de conferencia

Categoría OCDE

Sistemas de automatización, Sistemas de control

Temas Repositorio Ulima

Células solares
Electric batteries
Pilas eléctricas
Solar cells
Tratamiento de aguas
Water treatment

Acceder al documento

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

Otros archivos y enlaces

Diseño y construcción de una unidad de tratamiento de agua autónoma basada en iones ferrato(VI) energizada por paneles fotovoltaicos
Quino Favero, J. M., Paredes Larroca, F. H., Saettone Olschewski, E. A. & Eyzaguirre Pérez, R.
1/04/19 → 31/03/20
Proyecto: Investigación

Citar esto

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. En J. Nummenmaa, F. Pérez-González, B. Domenech-Lega, J. Vaunat, & F. Oscar Fernández-Peña (Eds.), Advances and Applications in Computer Science, Electronics and Industrial Engineering -Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2019 (pp. 168-183). (Advances in Intelligent Systems and Computing; Vol. 1078). Springer. https://doi.org/10.1007/978-3-030-33614-1_12

Paredes Larroca, Fabricio ; Saettone Olschewski, Erich ; Quino Favero, Javier et al. / Development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries. Advances and Applications in Computer Science, Electronics and Industrial Engineering -Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2019. editor / Jyrki Nummenmaa ; Federico Pérez-González ; Bruno Domenech-Lega ; Jean Vaunat ; Félix Oscar Fernández-Peña. Springer, 2020. pp. 168-183 (Advances in Intelligent Systems and Computing).

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title = "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{\textquoteright}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.",

keywords = "Battery charger, Controller, Fuzzy logic",

author = "{Paredes Larroca}, Fabricio and {Saettone Olschewski}, Erich and {Quino Favero}, Javier and {Rosales Huaman{\'i}}, Jimmy and {Castillo Sequera}, {Jos{\'e} Luis}",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; null ; Conference date: 28-10-2019 Through 31-10-2019",

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doi = "https://doi.org/10.1007/978-3-030-33614-1_12",

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Paredes Larroca, F , Saettone Olschewski, E , Quino Favero, J, Rosales Huamaní, J & Castillo Sequera, JL 2020, Development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries. En J Nummenmaa, F Pérez-González, B Domenech-Lega, J Vaunat & F Oscar Fernández-Peña (eds.), Advances and Applications in Computer Science, Electronics and Industrial Engineering -Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2019. Advances in Intelligent Systems and Computing, vol. 1078, Springer, pp. 168-183, 1st International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2019, Ambato, Ecuador, 28/10/19. https://doi.org/10.1007/978-3-030-33614-1_12

Development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries. / Paredes Larroca, Fabricio ; Saettone Olschewski, Erich ; Quino Favero, Javier et al.

Advances and Applications in Computer Science, Electronics and Industrial Engineering -Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2019. ed. / Jyrki Nummenmaa; Federico Pérez-González; Bruno Domenech-Lega; Jean Vaunat; Félix Oscar Fernández-Peña. Springer, 2020. p. 168-183 (Advances in Intelligent Systems and Computing; Vol. 1078).

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

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AU - Saettone Olschewski, Erich

AU - Quino Favero, Javier

AU - Rosales Huamaní, Jimmy

AU - Castillo Sequera, José Luis

PY - 2020/1/1

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N2 - 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.

AB - 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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KW - Fuzzy logic

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Paredes Larroca F , Saettone Olschewski E , Quino Favero J, Rosales Huamaní J, Castillo Sequera JL. Development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries. En Nummenmaa J, Pérez-González F, Domenech-Lega B, Vaunat J, Oscar Fernández-Peña F, editores, Advances and Applications in Computer Science, Electronics and Industrial Engineering -Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2019. Springer. 2020. p. 168-183. (Advances in Intelligent Systems and Computing). doi: https://doi.org/10.1007/978-3-030-33614-1_12

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

Resumen

Serie de la publicación

Conferencia

COAR

Categoría OCDE

Temas Repositorio Ulima

Acceder al documento

Otros archivos y enlaces

Huella

Proyectos

Diseño y construcción de una unidad de tratamiento de agua autónoma basada en iones ferrato(VI) energizada por paneles fotovoltaicos

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